In this project, we are going to compare the neighborhoods of the New York City in the US and the city of Toronto in Canada, and determine how similar they are in terms of businesses. We will analyze for both cities
The results of the project will enable more effective decisions making for business people who want to start their business in these two big cities.
Based on definition of our problem, following data sources will be needed to extract/generate the required information:
Code in this section is based on DP0701EN-3-3-2-Neighborhoods-New-York-py-v2.0, which is part of a lab material in this course (Applied Data Science Capstone).
import numpy as np
import pandas as pd
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
import json # library to handle JSON files
# !pip install geopy
from geopy.geocoders import Nominatim # convert an address into latitude and longitude values
import requests
from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe
# Matplotlib and associated plotting modules
import matplotlib.cm as cm
import matplotlib.colors as colors
from matplotlib import pyplot as plt
from sklearn.cluster import KMeans
import folium # map rendering library
from IPython.display import HTML
import time
print('Libraries imported.')
Libraries imported.
# plotting configurations that will be used later
%config InlineBackend.figure_format = 'retina'
plt.rc('figure', dpi=300)
plt.rc('savefig', dpi=300)
fig_size = (12,6)
big_fig_size = (18,8)
fig_fc = '#ffffff'
pc = ["#4285f4", "#db4437", "#f4b400", "#0f9d58", "#ab47bc", "#00acc1", "#ff7043",
"#9e9d24", "#5c6bc0", "#f06292", "#00796b", "#c2185b", "#7e57c2", "#03a9f4",
"#8bc34a", "#fdd835", "#fb8c00", "#8d6e63", "#9e9e9e", "#607d8b"]
def plot_conf(ax, xlbl='', ylbl='', t=''):
"""
This function perform operations to produce better-looking
visualizations
"""
# changing the background color of the plot
ax.set_facecolor('#ffffff')
# modifying the ticks on plot axes
ax.tick_params(axis='both', labelcolor='#616161', color='#ffffff')
ax.tick_params(axis='both', which='major', labelsize=9)
# adding a grid and specifying its color
ax.grid(True, color='#e9e9e9')
# making the grid appear behind the graph elements
ax.set_axisbelow(True)
# hiding axes
ax.spines['bottom'].set_color('#ffffff')
ax.spines['top'].set_color('#ffffff')
ax.spines['right'].set_color('#ffffff')
ax.spines['left'].set_color('#ffffff')
# setting the title, x label, and y label of the plot
ax.set_title(t, fontsize=14, color='#616161', loc='left', pad=24, fontweight='bold');
ax.set_xlabel(xlbl, labelpad=16, fontsize=11, color='#616161', fontstyle='italic');
ax.set_ylabel(ylbl, color='#616161', labelpad=16, fontsize=11, fontstyle='italic');
# table configuration
styles = [
dict(selector="td, th", props=[("border", "1px solid #333"), ("padding", "2px")]),
dict(selector="th.col_heading", props=[("background", "#eee8d5"), ("color", "#b58900"), ("padding", "5px 8px")]),
dict(selector="th.index_name", props=[("background", "#eee8d5"), ("color", "#268bd2"), ("padding", "5px 8px")]),
dict(selector="th.blank", props=[("background", "#eee8d5"), ("color", "#268bd2"), ("padding", "0")]),
dict(selector="th.row_heading.level0", props=[("background", "rgba(133, 153, 0, 0.1)")]),
dict(selector="th.row_heading.level1", props=[("background", "rgba(42, 161, 152, 0.1)")]),
dict(selector="thead tr:nth-child(2) th", props=[("border-bottom", "3px solid #333333")]),
dict(selector="td:hover", props=[("font-weight", "bold"), ("background", "#002b36"), ("color", "Gold")]),
]
disp_fmt = "<h2 style='color: #b58900'>{}<span style='color: #FF91CE; font-size: 115%'>:</span></h2>"
# # We only need to do this once.
# !wget -q -O './capstone_data/newyork_data.json' https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0701EN-SkillsNetwork/labs/newyork_data.json
# print('Data downloaded!')
with open('./capstone_data/newyork_data.json') as json_data:
newyork_data = json.load(json_data)
# newyork_data
nyc_neighborhoods_data = newyork_data['features']
nyc_neighborhoods_data[0]
{'type': 'Feature',
'id': 'nyu_2451_34572.1',
'geometry': {'type': 'Point',
'coordinates': [-73.84720052054902, 40.89470517661]},
'geometry_name': 'geom',
'properties': {'name': 'Wakefield',
'stacked': 1,
'annoline1': 'Wakefield',
'annoline2': None,
'annoline3': None,
'annoangle': 0.0,
'borough': 'Bronx',
'bbox': [-73.84720052054902,
40.89470517661,
-73.84720052054902,
40.89470517661]}}
# define the dataframe columns
column_names = ['Borough', 'Neighborhood', 'Latitude', 'Longitude']
# instantiate the dataframe
nyc_neighborhoods = pd.DataFrame(columns=column_names)
for data in nyc_neighborhoods_data:
borough = data['properties']['borough']
neighborhood_name = data['properties']['name']
neighborhood_latlon = data['geometry']['coordinates']
neighborhood_lat = neighborhood_latlon[1]
neighborhood_lon = neighborhood_latlon[0]
nyc_neighborhoods = nyc_neighborhoods.append(
{'Borough' : borough,
'Neighborhood': neighborhood_name,
'Latitude' : neighborhood_lat,
'Longitude' : neighborhood_lon},
ignore_index=True)
nyc_neighborhoods.head()
| Borough | Neighborhood | Latitude | Longitude | |
|---|---|---|---|---|
| 0 | Bronx | Wakefield | 40.894705 | -73.847201 |
| 1 | Bronx | Co-op City | 40.874294 | -73.829939 |
| 2 | Bronx | Eastchester | 40.887556 | -73.827806 |
| 3 | Bronx | Fieldston | 40.895437 | -73.905643 |
| 4 | Bronx | Riverdale | 40.890834 | -73.912585 |
print('The dataframe has {} boroughs and {} neighborhoods.'.format(
len(nyc_neighborhoods['Borough'].unique()),
nyc_neighborhoods.shape[0])
)
The dataframe has 5 boroughs and 306 neighborhoods.
In this dataframe, there are neighborhoods that share the same name but are located in different boroughs as shown below:
nnvc = nyc_neighborhoods['Neighborhood'].value_counts()
nnvc[nnvc > 1]
Sunnyside 2 Bay Terrace 2 Murray Hill 2 Chelsea 2 Name: Neighborhood, dtype: int64
nyc_neighborhoods[nyc_neighborhoods['Neighborhood'] == 'Bay Terrace']
| Borough | Neighborhood | Latitude | Longitude | |
|---|---|---|---|---|
| 175 | Queens | Bay Terrace | 40.782843 | -73.776802 |
| 235 | Staten Island | Bay Terrace | 40.553988 | -74.139166 |
To deal with this case, we will include the borough name in the name of these neighborhoods. For example, "Bay Terrace" neighborhood which is located in "Staten Island" borough will be named "Bay Terrace, Staten Island" and the one in "Queens" will be named "Bay Terrace, Queens":
for i in range(nyc_neighborhoods.shape[0]):
nyn_ = nyc_neighborhoods.loc[i, 'Neighborhood']
if nyc_neighborhoods[nyc_neighborhoods['Neighborhood'] == nyn_].shape[0] > 1:
ind_ = nyc_neighborhoods[nyc_neighborhoods['Neighborhood'] == nyn_].index.tolist()
for j in ind_:
nyb__ = nyc_neighborhoods.loc[j, 'Borough']
nyc_neighborhoods.loc[j, 'Neighborhood'] = nyn_ + ', ' + nyb__
nyc_neighborhoods[nyc_neighborhoods['Neighborhood'].str.startswith('Bay Terrace')]
| Borough | Neighborhood | Latitude | Longitude | |
|---|---|---|---|---|
| 175 | Queens | Bay Terrace, Queens | 40.782843 | -73.776802 |
| 235 | Staten Island | Bay Terrace, Staten Island | 40.553988 | -74.139166 |
geopy Library to get the Coordinates of New York City¶address = 'New York City, NY'
geolocator = Nominatim(user_agent="ny_explorer")
location = geolocator.geocode(address)
latitude = location.latitude
longitude = location.longitude
print('The geograpical coordinate of New York City are {}, {}.'.format(latitude, longitude))
The geograpical coordinate of New York City are 40.7127281, -74.0060152.
nyc_borough_list = nyc_neighborhoods['Borough'].unique()
colors = {
nyc_borough_list[0]:'red',
nyc_borough_list[1]:'blue',
nyc_borough_list[2]:'yellow',
nyc_borough_list[3]:'green',
nyc_borough_list[4]:'orange'}
print(colors)
# create map of New York using latitude and longitude values
map_newyork = folium.Map(location = [latitude, longitude],
zoom_start = 10,
min_zoom = 9,
max_zoom = 11)
# add markers of neighborhoods to map
for lat, lng, borough, neighborhood in zip(nyc_neighborhoods['Latitude'],
nyc_neighborhoods['Longitude'],
nyc_neighborhoods['Borough'],
nyc_neighborhoods['Neighborhood']):
label = '{}, {}'.format(neighborhood, borough)
label = folium.Popup(label, parse_html=True)
folium.CircleMarker(
[lat, lng],
radius = 3,
popup = label,
weight = 2,
color = 'black',
fill = True,
fill_color = colors[borough],
fill_opacity = 0.7,
parse_html = False
).add_to(map_newyork)
map_newyork
{'Bronx': 'red', 'Manhattan': 'blue', 'Brooklyn': 'yellow', 'Queens': 'green', 'Staten Island': 'orange'}
# (We only need to do this ONCE.)
# # Foursquare API credentials
# CLIENT_ID = '0MUGDYKOTRADEMKPQAGC04ERDG2QGPNSCBU0NJUF5TCWDZ3F'
# CLIENT_SECRET = 'ABAH0NCFR5UCPDIYYT5332EWLB2KM1TWPWMH2VN5414UPSOL'
# VERSION = '20201124'
# LIMIT = 100 # A default Foursquare API limit value
# print('Your credentails:')
# print('CLIENT_ID: ' + CLIENT_ID)
# print('CLIENT_SECRET:' + CLIENT_SECRET)
# def getNearbyVenues(names, latitudes, longitudes, radius=500, LIMIT=100):
# """
# A function that retrieves information about venues in each neighborhood.
# It takes as input a list of the names of the neighborhoods, a list of
# their latitudes, and a list of their longitudes.
# It returns a dataframe with information about each neighborhood and its venues.
# """
# venues_list=[]
# for name, lat, lng in zip(names, latitudes, longitudes):
# print('+', end='')
# # create the API request URL
# url = ('https://api.foursquare.com/v2/venues/search?'
# '&client_id={}'
# '&client_secret={}'
# '&v={}'
# '&ll={},{}&intent=browse&radius={}&limit={}'
# .format(CLIENT_ID,
# CLIENT_SECRET,
# VERSION,
# lat, lng, radius,LIMIT))
# # make the GET request
# results = None
# while results is None:
# try:
# results = requests.get(url).json()["response"]["venues"]
# except:
# print('X', end='')
# results = None
# # return only relevant information for each nearby venue
# venues_list.append([(name, lat, lng, v['name'], v['location']['lat'],
# v['location']['lng'], v['categories'][0]['name'])
# for v in results if len(v['categories']) > 0])
# nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])
# nearby_venues.columns = ['Neighborhood', 'Neighborhood Latitude', 'Neighborhood Longitude',
# 'Venue', 'Venue Latitude', 'Venue Longitude', 'Venue Category']
# return(nearby_venues)
# df_nyc_nbhd = getNearbyVenues(names = nyc_neighborhoods['Neighborhood'],
# latitudes = nyc_neighborhoods['Latitude'],
# longitudes = nyc_neighborhoods['Longitude']
# )
# df_nyc_nbhd.to_csv('./capstone_data/nyc_venues.csv',index=False)
nyc_venues = pd.read_csv('./capstone_data/nyc_venues.csv')
# Removing some records
nyc_venues = nyc_venues[~nyc_venues['Venue Category'].isin([
'Building', 'Office', 'Bus Line', 'Bus Station', 'Bus Stop', 'Road'])]
print(nyc_venues.shape)
nyc_venues.head()
(23776, 7)
| Neighborhood | Neighborhood Latitude | Neighborhood Longitude | Venue | Venue Latitude | Venue Longitude | Venue Category | |
|---|---|---|---|---|---|---|---|
| 0 | Wakefield | 40.894705 | -73.847201 | Shell | 40.894187 | -73.845862 | Gas Station |
| 1 | Wakefield | 40.894705 | -73.847201 | Pitman Deli | 40.896744 | -73.844398 | Food |
| 2 | Wakefield | 40.894705 | -73.847201 | Julio C Barber Shop 2 | 40.892648 | -73.855725 | Salon / Barbershop |
| 3 | Wakefield | 40.894705 | -73.847201 | Lollipops Gelato | 40.894123 | -73.845892 | Dessert Shop |
| 5 | Wakefield | 40.894705 | -73.847201 | Shell | 40.891771 | -73.853213 | Gas Station |
nyc_venues.groupby('Neighborhood').size()
Neighborhood Allerton 84 Annadale 77 Arden Heights 69 Arlington 72 Arrochar 77 Arverne 85 Astoria 75 Astoria Heights 66 Auburndale 63 Bath Beach 86 Battery Park City 87 Bay Ridge 87 Bay Terrace, Queens 81 Bay Terrace, Staten Island 78 Baychester 82 Bayside 84 Bayswater 80 Bedford Park 68 Bedford Stuyvesant 86 Beechhurst 90 Bellaire 79 Belle Harbor 83 Bellerose 80 Belmont 62 Bensonhurst 84 Bergen Beach 79 Blissville 77 Bloomfield 73 Boerum Hill 90 Borough Park 35 Breezy Point 72 Briarwood 75 Brighton Beach 90 Broad Channel 88 Broadway Junction 69 Bronxdale 70 Brooklyn Heights 39 Brookville 67 Brownsville 85 Bulls Head 73 Bushwick 68 Butler Manor 72 Cambria Heights 79 Canarsie 68 Carnegie Hill 86 Carroll Gardens 83 Castle Hill 79 Castleton Corners 77 Central Harlem 85 Charleston 83 Chelsea, Manhattan 84 Chelsea, Staten Island 82 Chinatown 89 City Island 87 City Line 88 Civic Center 71 Claremont Village 77 Clason Point 56 Clifton 71 Clinton 80 Clinton Hill 87 Co-op City 74 Cobble Hill 74 College Point 86 Concord 61 Concourse 86 Concourse Village 79 Coney Island 74 Corona 92 Country Club 74 Crown Heights 88 Cypress Hills 87 Ditmas Park 91 Dongan Hills 68 Douglaston 84 Downtown 99 Dumbo 80 Dyker Heights 57 East Elmhurst 79 East Flatbush 84 East Harlem 78 East New York 74 East Tremont 89 East Village 86 East Williamsburg 89 Eastchester 80 Edenwald 62 Edgemere 78 Edgewater Park 82 Egbertville 70 Elm Park 70 Elmhurst 68 Eltingville 87 Emerson Hill 68 Erasmus 37 Far Rockaway 83 Fieldston 81 Financial District 66 Flatbush 89 Flatiron 73 Flatlands 82 Floral Park 83 Flushing 89 Fordham 79 Forest Hills 31 Forest Hills Gardens 85 Fort Greene 32 Fort Hamilton 88 Fox Hills 73 Fresh Meadows 45 Fulton Ferry 88 Georgetown 93 Gerritsen Beach 83 Glen Oaks 64 Glendale 71 Gowanus 72 Gramercy 84 Graniteville 71 Grant City 79 Grasmere 70 Gravesend 85 Great Kills 89 Greenpoint 88 Greenridge 62 Greenwich Village 88 Grymes Hill 75 Hamilton Heights 85 Hammels 88 Heartland Village 80 High Bridge 85 Highland Park 61 Hillcrest 89 Hollis 85 Holliswood 85 Homecrest 89 Howard Beach 89 Howland Hook 80 Hudson Yards 24 Huguenot 75 Hunters Point 91 Hunts Point 62 Inwood 93 Jackson Heights 84 Jamaica Center 82 Jamaica Estates 18 Jamaica Hills 76 Kensington 75 Kew Gardens 75 Kew Gardens Hills 80 Kingsbridge 40 Kingsbridge Heights 86 Laurelton 80 Lefrak City 84 Lenox Hill 84 Lighthouse Hill 66 Lincoln Square 89 Lindenwood 78 Little Italy 80 Little Neck 80 Long Island City 83 Longwood 80 Lower East Side 78 Madison 53 Malba 61 Manhattan Beach 76 Manhattan Terrace 84 Manhattan Valley 10 Manhattanville 84 Manor Heights 75 Marble Hill 72 Marine Park 76 Mariner's Harbor 79 Maspeth 81 Melrose 79 Middle Village 78 Midland Beach 79 Midtown 64 Midtown South 84 Midwood 77 Mill Basin 75 Mill Island 70 Morningside Heights 85 Morris Heights 83 Morris Park 83 Morrisania 82 Mott Haven 80 Mount Eden 87 Mount Hope 78 Murray Hill, Manhattan 86 Murray Hill, Queens 95 Neponsit 86 New Brighton 76 New Dorp 81 New Dorp Beach 80 New Lots 80 New Springville 83 Noho 83 North Corona 83 North Riverdale 85 North Side 90 Norwood 89 Oakland Gardens 87 Oakwood 70 Ocean Hill 85 Ocean Parkway 83 Old Town 81 Olinville 83 Ozone Park 79 Paerdegat Basin 80 Park Hill 69 Park Slope 92 Parkchester 87 Pelham Bay 84 Pelham Gardens 79 Pelham Parkway 82 Pleasant Plains 80 Pomonok 80 Port Ivory 74 Port Morris 73 Port Richmond 66 Prince's Bay 72 Prospect Heights 76 Prospect Lefferts Gardens 87 Prospect Park South 91 Queens Village 77 Queensboro Hill 82 Queensbridge 76 Randall Manor 79 Ravenswood 90 Red Hook 88 Rego Park 82 Remsen Village 58 Richmond Hill 83 Richmond Town 75 Richmond Valley 93 Ridgewood 84 Riverdale 86 Rochdale 84 Rockaway Beach 91 Rockaway Park 25 Roosevelt Island 76 Rosebank 81 Rosedale 89 Rossville 78 Roxbury 87 Rugby 87 Sandy Ground 69 Schuylerville 59 Sea Gate 70 Sheepshead Bay 81 Shore Acres 76 Silver Lake 81 Soho 83 Somerville 77 Soundview 81 South Beach 86 South Jamaica 76 South Ozone Park 75 South Side 92 Springfield Gardens 64 Spuyten Duyvil 72 St. Albans 86 St. George 85 Stapleton 76 Starrett City 67 Steinway 85 Stuyvesant Town 53 Sunnyside Gardens 83 Sunnyside, Queens 84 Sunnyside, Staten Island 89 Sunset Park 85 Sutton Place 80 Throgs Neck 74 Todt Hill 79 Tompkinsville 87 Tottenville 63 Travis 75 Tribeca 84 Tudor City 84 Turtle Bay 67 Unionport 89 University Heights 91 Upper East Side 80 Upper West Side 83 Utopia 67 Van Nest 85 Vinegar Hill 76 Wakefield 87 Washington Heights 41 Weeksville 89 West Brighton 87 West Farms 71 West Village 89 Westchester Square 86 Westerleigh 89 Whitestone 69 Williamsbridge 89 Williamsburg 85 Willowbrook 71 Windsor Terrace 50 Wingate 81 Woodhaven 93 Woodlawn 83 Woodrow 80 Woodside 92 Yorkville 88 dtype: int64
nyc_neighborhoods['Neighborhood'].unique().shape[0], nyc_venues['Neighborhood'].unique().shape[0]
(306, 306)
# In case Foursquare does not return any venue for some neighborhoods.
nyc_excluded_neighborhoods = set(nyc_neighborhoods['Neighborhood']).difference(nyc_venues['Neighborhood'])
print(nyc_excluded_neighborhoods)
set()
print('There are {} uniques categories.'.format(len(nyc_venues['Venue Category'].unique())))
There are 576 uniques categories.
Venue Category variable¶# one-hot encoding
nyc_onehot = pd.get_dummies(nyc_venues[['Venue Category']], prefix="", prefix_sep="")
nyc_onehot['Neighborhood'] = nyc_venues['Neighborhood']
# move 'Neighborhood' column to the first column
fixed_columns = [nyc_onehot.columns[-1]] + list(nyc_onehot.columns[:-1])
nyc_onehot = nyc_onehot[fixed_columns]
nyc_onehot.head()
| Neighborhood | ATM | Accessories Store | Acupuncturist | Adult Boutique | Advertising Agency | Afghan Restaurant | African Restaurant | Airport | Airport Gate | Airport Service | Airport Terminal | Airport Tram | Alternative Healer | American Restaurant | Animal Shelter | Antique Shop | Arcade | Arepa Restaurant | Argentinian Restaurant | Art Gallery | Art Museum | Art Studio | Arts & Crafts Store | Arts & Entertainment | Asian Restaurant | Assisted Living | Astrologer | Athletics & Sports | Auditorium | Australian Restaurant | Auto Dealership | Auto Garage | Auto Workshop | Automotive Shop | BBQ Joint | Baby Store | Bagel Shop | Baggage Claim | Baggage Locker | Bakery | Ballroom | Bank | Bar | Baseball Field | Baseball Stadium | Basketball Court | Bath House | Bathing Area | Beach | Beach Bar | Bed & Breakfast | Beer Bar | Beer Garden | Beer Store | Big Box Store | Bike Rental / Bike Share | Bike Shop | Bike Trail | Bistro | Board Shop | Boat or Ferry | Bookstore | Border Crossing | Botanical Garden | Boutique | Bowling Alley | Boxing Gym | Brazilian Restaurant | Breakfast Spot | Brewery | Bridal Shop | Bridge | Bubble Tea Shop | Buddhist Temple | Buffet | Burger Joint | Burrito Place | Business Center | Business Service | Butcher | Cable Car | Cafeteria | Café | Cajun / Creole Restaurant | Camera Store | Campaign Office | Campground | Canal | Candy Store | Cantonese Restaurant | Capitol Building | Car Wash | Caribbean Restaurant | Carpet Store | Casino | Caucasian Restaurant | Cemetery | Check Cashing Service | Cheese Shop | Child Care Service | Chinese Restaurant | Chiropractor | Chocolate Shop | Church | Circus | City Hall | Climbing Gym | Clothing Store | Club House | Cocktail Bar | Coffee Shop | College & University | College Academic Building | College Administrative Building | College Arts Building | College Auditorium | College Basketball Court | College Bookstore | College Cafeteria | College Classroom | College Communications Building | College Football Field | College Gym | College Lab | College Library | College Math Building | College Quad | College Rec Center | College Residence Hall | College Science Building | College Stadium | College Technology Building | College Theater | College Track | Colombian Restaurant | Comedy Club | Comfort Food Restaurant | Community Center | Community College | Concert Hall | Conference Room | Construction & Landscaping | Convenience Store | Convention Center | Cooking School | Corporate Amenity | Corporate Cafeteria | Cosmetics Shop | Costume Shop | Country Dance Club | Courthouse | Coworking Space | Credit Union | Creperie | Cuban Restaurant | Cultural Center | Cupcake Shop | Currency Exchange | Cycle Studio | Dance Studio | Daycare | Deli / Bodega | Dentist's Office | Department Store | Design Studio | Dessert Shop | Dim Sum Restaurant | Diner | Discount Store | Distillery | Distribution Center | Dive Bar | Doctor's Office | Dog Run | Donut Shop | Dosa Place | Driving School | Drugstore | Dry Cleaner | Dumpling Restaurant | EV Charging Station | Eastern European Restaurant | Electronics Store | Elementary School | Embassy / Consulate | Emergency Room | Empanada Restaurant | Entertainment Service | Event Service | Event Space | Exhibit | Eye Doctor | Fabric Shop | Factory | Fair | Falafel Restaurant | Farm | Farmers Market | Fast Food Restaurant | Field | Filipino Restaurant | Film Studio | Financial or Legal Service | Fire Station | Fish & Chips Shop | Fish Market | Fishing Spot | Fishing Store | Flea Market | Floating Market | Flower Shop | Food | Food & Drink Shop | Food Court | Food Service | Food Stand | Food Truck | Forest | Fraternity House | French Restaurant | Fried Chicken Joint | Frozen Yogurt Shop | Fruit & Vegetable Store | Funeral Home | Furniture / Home Store | Gaming Cafe | Garden | Garden Center | Gas Station | Gastropub | Gay Bar | General College & University | General Entertainment | General Travel | German Restaurant | Gift Shop | Gluten-free Restaurant | Golf Course | Gourmet Shop | Government Building | Greek Restaurant | Grocery Store | Gun Range | Gym | Gym / Fitness Center | Gym Pool | Gymnastics Gym | Halal Restaurant | Harbor / Marina | Hardware Store | Hawaiian Restaurant | Health & Beauty Service | Health Food Store | Herbs & Spices Store | High School | Himalayan Restaurant | Hindu Temple | Historic Site | History Museum | Hobby Shop | Home Service | Hookah Bar | Hospital | Hospital Ward | Hostel | Hot Dog Joint | Hot Spring | Hotel | Hotel Bar | Hotpot Restaurant | Housing Development | Hunan Restaurant | IT Services | Ice Cream Shop | Indian Restaurant | Indie Movie Theater | Indie Theater | Indoor Play Area | Industrial Estate | Insurance Office | Internet Cafe | Intersection | Irish Pub | Island | Israeli Restaurant | Italian Restaurant | Japanese Curry Restaurant | Japanese Restaurant | Jazz Club | Jewelry Store | Jewish Restaurant | Juice Bar | Karaoke Bar | Kebab Restaurant | Kids Store | Kingdom Hall | Korean Restaurant | Kosher Restaurant | Lake | Language School | Latin American Restaurant | Laundromat | Laundry Service | Law School | Lawyer | Leather Goods Store | Lebanese Restaurant | Library | Light Rail Station | Lighthouse | Line / Queue | Lingerie Store | Liquor Store | Locksmith | Lounge | Luggage Store | Mac & Cheese Joint | Malay Restaurant | Market | Martial Arts School | Massage Studio | Maternity Clinic | Mattress Store | Medical Center | Medical Lab | Medical School | Mediterranean Restaurant | Meeting Room | Memorial Site | Men's Store | Mental Health Office | Metro Station | Mexican Restaurant | Middle Eastern Restaurant | Middle School | Military Base | Miscellaneous Shop | Mobile Phone Shop | Monastery | Monument / Landmark | Moroccan Restaurant | Mosque | Motel | Motorcycle Shop | Mountain | Movie Theater | Moving Target | Multiplex | Museum | Music School | Music Store | Music Venue | Nail Salon | National Park | New American Restaurant | Newsstand | Night Market | Nightclub | Nightlife Spot | Non-Profit | Noodle House | Nursery School | Opera House | Optical Shop | Organic Grocery | Other Event | Other Great Outdoors | Other Nightlife | Other Repair Shop | Outdoor Event Space | Outdoor Gym | Outdoor Sculpture | Outdoors & Recreation | Outlet Mall | Outlet Store | Paella Restaurant | Paintball Field | Pakistani Restaurant | Paper / Office Supplies Store | Park | Parking | Pawn Shop | Pedestrian Plaza | Performing Arts Venue | Persian Restaurant | Peruvian Restaurant | Pet Café | Pet Service | Pet Store | Pharmacy | Photography Lab | Photography Studio | Physical Therapist | Piano Bar | Pie Shop | Pier | Piercing Parlor | Pilates Studio | Pizza Place | Plane | Platform | Playground | Plaza | Poke Place | Police Station | Polish Restaurant | Pool | Pool Hall | Pop-Up Shop | Portuguese Restaurant | Post Office | Prayer Room | Preschool | Print Shop | Private School | Professional & Other Places | Pub | Public Art | Public Bathroom | Puerto Rican Restaurant | Racetrack | Radio Station | Ramen Restaurant | Real Estate Office | Record Shop | Recording Studio | Recreation Center | Recycling Facility | Rehab Center | Religious School | Rental Car Location | Rental Service | Research Laboratory | Residence | Residential Building (Apartment / Condo) | Resort | Rest Area | Restaurant | River | Rock Climbing Spot | Rock Club | Roller Rink | Roof Deck | Rugby Pitch | Russian Restaurant | Sake Bar | Salad Place | Salon / Barbershop | Salsa Club | Sandwich Place | Sausage Shop | Scenic Lookout | School | Sculpture Garden | Seafood Restaurant | Shabu-Shabu Restaurant | Shanghai Restaurant | Shipping Store | Shoe Repair | Shoe Store | Shop & Service | Shopping Mall | Shopping Plaza | Shrine | Sikh Temple | Skate Park | Skating Rink | Ski Chalet | Ski Lodge | Smoke Shop | Smoothie Shop | Snack Place | Soccer Field | Social Club | Sorority House | Soup Place | South American Restaurant | South Indian Restaurant | Southern / Soul Food Restaurant | Souvenir Shop | Souvlaki Shop | Spa | Spanish Restaurant | Speakeasy | Spiritual Center | Sporting Goods Shop | Sports Bar | Sports Club | Squash Court | Sri Lankan Restaurant | Stables | Stadium | Stationery Store | Steakhouse | Stoop Sale | Storage Facility | Street Art | Strip Club | Student Center | Summer Camp | Supermarket | Supplement Shop | Surf Spot | Sushi Restaurant | Synagogue | Szechuan Restaurant | TV Station | Taco Place | Tailor Shop | Taiwanese Restaurant | Tanning Salon | Tapas Restaurant | Tattoo Parlor | Taxi | Tea Room | Tech Startup | Temple | Tennis Court | Tennis Stadium | Tex-Mex Restaurant | Thai Restaurant | Theater | Theme Park | Theme Park Ride / Attraction | Theme Restaurant | Thrift / Vintage Store | Tibetan Restaurant | Tiki Bar | Toll Booth | Toll Plaza | Tour Provider | Tourist Information Center | Toy / Game Store | Track | Track Stadium | Trade School | Trail | Trailer Park | Train | Train Station | Transportation Service | Travel & Transport | Travel Agency | Travel Lounge | Tree | Tunnel | Turkish Restaurant | University | Urgent Care Center | Vacation Rental | Vape Store | Varenyky restaurant | Vegetarian / Vegan Restaurant | Veterinarian | Video Game Store | Video Store | Vietnamese Restaurant | Vineyard | Volleyball Court | Voting Booth | Warehouse | Warehouse Store | Waste Facility | Watch Shop | Waterfront | Wedding Hall | Weight Loss Center | Well | Whisky Bar | Wine Bar | Wine Shop | Winery | Wings Joint | Women's Store | Yemeni Restaurant | Yoga Studio | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| 3 | Wakefield | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5 | Wakefield | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
nyc_onehot.shape
(23776, 577)
nyc_grouped = nyc_onehot.groupby('Neighborhood').mean().reset_index()
nyc_grouped.head()
| Neighborhood | ATM | Accessories Store | Acupuncturist | Adult Boutique | Advertising Agency | Afghan Restaurant | African Restaurant | Airport | Airport Gate | Airport Service | Airport Terminal | Airport Tram | Alternative Healer | American Restaurant | Animal Shelter | Antique Shop | Arcade | Arepa Restaurant | Argentinian Restaurant | Art Gallery | Art Museum | Art Studio | Arts & Crafts Store | Arts & Entertainment | Asian Restaurant | Assisted Living | Astrologer | Athletics & Sports | Auditorium | Australian Restaurant | Auto Dealership | Auto Garage | Auto Workshop | Automotive Shop | BBQ Joint | Baby Store | Bagel Shop | Baggage Claim | Baggage Locker | Bakery | Ballroom | Bank | Bar | Baseball Field | Baseball Stadium | Basketball Court | Bath House | Bathing Area | Beach | Beach Bar | Bed & Breakfast | Beer Bar | Beer Garden | Beer Store | Big Box Store | Bike Rental / Bike Share | Bike Shop | Bike Trail | Bistro | Board Shop | Boat or Ferry | Bookstore | Border Crossing | Botanical Garden | Boutique | Bowling Alley | Boxing Gym | Brazilian Restaurant | Breakfast Spot | Brewery | Bridal Shop | Bridge | Bubble Tea Shop | Buddhist Temple | Buffet | Burger Joint | Burrito Place | Business Center | Business Service | Butcher | Cable Car | Cafeteria | Café | Cajun / Creole Restaurant | Camera Store | Campaign Office | Campground | Canal | Candy Store | Cantonese Restaurant | Capitol Building | Car Wash | Caribbean Restaurant | Carpet Store | Casino | Caucasian Restaurant | Cemetery | Check Cashing Service | Cheese Shop | Child Care Service | Chinese Restaurant | Chiropractor | Chocolate Shop | Church | Circus | City Hall | Climbing Gym | Clothing Store | Club House | Cocktail Bar | Coffee Shop | College & University | College Academic Building | College Administrative Building | College Arts Building | College Auditorium | College Basketball Court | College Bookstore | College Cafeteria | College Classroom | College Communications Building | College Football Field | College Gym | College Lab | College Library | College Math Building | College Quad | College Rec Center | College Residence Hall | College Science Building | College Stadium | College Technology Building | College Theater | College Track | Colombian Restaurant | Comedy Club | Comfort Food Restaurant | Community Center | Community College | Concert Hall | Conference Room | Construction & Landscaping | Convenience Store | Convention Center | Cooking School | Corporate Amenity | Corporate Cafeteria | Cosmetics Shop | Costume Shop | Country Dance Club | Courthouse | Coworking Space | Credit Union | Creperie | Cuban Restaurant | Cultural Center | Cupcake Shop | Currency Exchange | Cycle Studio | Dance Studio | Daycare | Deli / Bodega | Dentist's Office | Department Store | Design Studio | Dessert Shop | Dim Sum Restaurant | Diner | Discount Store | Distillery | Distribution Center | Dive Bar | Doctor's Office | Dog Run | Donut Shop | Dosa Place | Driving School | Drugstore | Dry Cleaner | Dumpling Restaurant | EV Charging Station | Eastern European Restaurant | Electronics Store | Elementary School | Embassy / Consulate | Emergency Room | Empanada Restaurant | Entertainment Service | Event Service | Event Space | Exhibit | Eye Doctor | Fabric Shop | Factory | Fair | Falafel Restaurant | Farm | Farmers Market | Fast Food Restaurant | Field | Filipino Restaurant | Film Studio | Financial or Legal Service | Fire Station | Fish & Chips Shop | Fish Market | Fishing Spot | Fishing Store | Flea Market | Floating Market | Flower Shop | Food | Food & Drink Shop | Food Court | Food Service | Food Stand | Food Truck | Forest | Fraternity House | French Restaurant | Fried Chicken Joint | Frozen Yogurt Shop | Fruit & Vegetable Store | Funeral Home | Furniture / Home Store | Gaming Cafe | Garden | Garden Center | Gas Station | Gastropub | Gay Bar | General College & University | General Entertainment | General Travel | German Restaurant | Gift Shop | Gluten-free Restaurant | Golf Course | Gourmet Shop | Government Building | Greek Restaurant | Grocery Store | Gun Range | Gym | Gym / Fitness Center | Gym Pool | Gymnastics Gym | Halal Restaurant | Harbor / Marina | Hardware Store | Hawaiian Restaurant | Health & Beauty Service | Health Food Store | Herbs & Spices Store | High School | Himalayan Restaurant | Hindu Temple | Historic Site | History Museum | Hobby Shop | Home Service | Hookah Bar | Hospital | Hospital Ward | Hostel | Hot Dog Joint | Hot Spring | Hotel | Hotel Bar | Hotpot Restaurant | Housing Development | Hunan Restaurant | IT Services | Ice Cream Shop | Indian Restaurant | Indie Movie Theater | Indie Theater | Indoor Play Area | Industrial Estate | Insurance Office | Internet Cafe | Intersection | Irish Pub | Island | Israeli Restaurant | Italian Restaurant | Japanese Curry Restaurant | Japanese Restaurant | Jazz Club | Jewelry Store | Jewish Restaurant | Juice Bar | Karaoke Bar | Kebab Restaurant | Kids Store | Kingdom Hall | Korean Restaurant | Kosher Restaurant | Lake | Language School | Latin American Restaurant | Laundromat | Laundry Service | Law School | Lawyer | Leather Goods Store | Lebanese Restaurant | Library | Light Rail Station | Lighthouse | Line / Queue | Lingerie Store | Liquor Store | Locksmith | Lounge | Luggage Store | Mac & Cheese Joint | Malay Restaurant | Market | Martial Arts School | Massage Studio | Maternity Clinic | Mattress Store | Medical Center | Medical Lab | Medical School | Mediterranean Restaurant | Meeting Room | Memorial Site | Men's Store | Mental Health Office | Metro Station | Mexican Restaurant | Middle Eastern Restaurant | Middle School | Military Base | Miscellaneous Shop | Mobile Phone Shop | Monastery | Monument / Landmark | Moroccan Restaurant | Mosque | Motel | Motorcycle Shop | Mountain | Movie Theater | Moving Target | Multiplex | Museum | Music School | Music Store | Music Venue | Nail Salon | National Park | New American Restaurant | Newsstand | Night Market | Nightclub | Nightlife Spot | Non-Profit | Noodle House | Nursery School | Opera House | Optical Shop | Organic Grocery | Other Event | Other Great Outdoors | Other Nightlife | Other Repair Shop | Outdoor Event Space | Outdoor Gym | Outdoor Sculpture | Outdoors & Recreation | Outlet Mall | Outlet Store | Paella Restaurant | Paintball Field | Pakistani Restaurant | Paper / Office Supplies Store | Park | Parking | Pawn Shop | Pedestrian Plaza | Performing Arts Venue | Persian Restaurant | Peruvian Restaurant | Pet Café | Pet Service | Pet Store | Pharmacy | Photography Lab | Photography Studio | Physical Therapist | Piano Bar | Pie Shop | Pier | Piercing Parlor | Pilates Studio | Pizza Place | Plane | Platform | Playground | Plaza | Poke Place | Police Station | Polish Restaurant | Pool | Pool Hall | Pop-Up Shop | Portuguese Restaurant | Post Office | Prayer Room | Preschool | Print Shop | Private School | Professional & Other Places | Pub | Public Art | Public Bathroom | Puerto Rican Restaurant | Racetrack | Radio Station | Ramen Restaurant | Real Estate Office | Record Shop | Recording Studio | Recreation Center | Recycling Facility | Rehab Center | Religious School | Rental Car Location | Rental Service | Research Laboratory | Residence | Residential Building (Apartment / Condo) | Resort | Rest Area | Restaurant | River | Rock Climbing Spot | Rock Club | Roller Rink | Roof Deck | Rugby Pitch | Russian Restaurant | Sake Bar | Salad Place | Salon / Barbershop | Salsa Club | Sandwich Place | Sausage Shop | Scenic Lookout | School | Sculpture Garden | Seafood Restaurant | Shabu-Shabu Restaurant | Shanghai Restaurant | Shipping Store | Shoe Repair | Shoe Store | Shop & Service | Shopping Mall | Shopping Plaza | Shrine | Sikh Temple | Skate Park | Skating Rink | Ski Chalet | Ski Lodge | Smoke Shop | Smoothie Shop | Snack Place | Soccer Field | Social Club | Sorority House | Soup Place | South American Restaurant | South Indian Restaurant | Southern / Soul Food Restaurant | Souvenir Shop | Souvlaki Shop | Spa | Spanish Restaurant | Speakeasy | Spiritual Center | Sporting Goods Shop | Sports Bar | Sports Club | Squash Court | Sri Lankan Restaurant | Stables | Stadium | Stationery Store | Steakhouse | Stoop Sale | Storage Facility | Street Art | Strip Club | Student Center | Summer Camp | Supermarket | Supplement Shop | Surf Spot | Sushi Restaurant | Synagogue | Szechuan Restaurant | TV Station | Taco Place | Tailor Shop | Taiwanese Restaurant | Tanning Salon | Tapas Restaurant | Tattoo Parlor | Taxi | Tea Room | Tech Startup | Temple | Tennis Court | Tennis Stadium | Tex-Mex Restaurant | Thai Restaurant | Theater | Theme Park | Theme Park Ride / Attraction | Theme Restaurant | Thrift / Vintage Store | Tibetan Restaurant | Tiki Bar | Toll Booth | Toll Plaza | Tour Provider | Tourist Information Center | Toy / Game Store | Track | Track Stadium | Trade School | Trail | Trailer Park | Train | Train Station | Transportation Service | Travel & Transport | Travel Agency | Travel Lounge | Tree | Tunnel | Turkish Restaurant | University | Urgent Care Center | Vacation Rental | Vape Store | Varenyky restaurant | Vegetarian / Vegan Restaurant | Veterinarian | Video Game Store | Video Store | Vietnamese Restaurant | Vineyard | Volleyball Court | Voting Booth | Warehouse | Warehouse Store | Waste Facility | Watch Shop | Waterfront | Wedding Hall | Weight Loss Center | Well | Whisky Bar | Wine Bar | Wine Shop | Winery | Wings Joint | Women's Store | Yemeni Restaurant | Yoga Studio | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Allerton | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.023810 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011905 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.035714 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.023810 | 0.02381 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.011905 | 0.000000 | 0.011905 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.023810 | 0.011905 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.011905 | 0.0 | 0.0 | 0.0 | 0.023810 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.0 | 0.02381 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011905 | 0.000000 | 0.0 | 0.0 | 0.023810 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.035714 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.023810 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.035714 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.011905 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011905 | 0.011905 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.011905 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.059524 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011905 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.0 | 0.011905 | 0.011905 | 0.0 | 0.0 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.011905 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.011905 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.035714 | 0.0 | 0.011905 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.011905 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011905 | 0.011905 | 0.000000 | 0.011905 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.035714 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.035714 | 0.0 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.011905 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.071429 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.011905 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.023810 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011905 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1 | Annadale | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.038961 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.012987 | 0.025974 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.012987 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.012987 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.012987 | 0.012987 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.000000 | 0.012987 | 0.012987 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.012987 | 0.0 | 0.0 | 0.012987 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.012987 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.025974 | 0.0 | 0.000000 | 0.0 | 0.025974 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.012987 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.038961 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.012987 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.025974 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.077922 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.025974 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.077922 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012987 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.038961 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2 | Arden Heights | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.014493 | 0.028986 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.028986 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.014493 | 0.00000 | 0.0 | 0.043478 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.028986 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.014493 | 0.043478 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.043478 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.014493 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.014493 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.028986 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.014493 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.028986 | 0.000000 | 0.0 | 0.014493 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.028986 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.014493 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.028986 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.014493 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.028986 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.014493 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.028986 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.014493 | 0.0 | 0.0 | 0.028986 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.014493 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.014493 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.057971 | 0.014493 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.014493 | 0.0 | 0.000000 | 0.014493 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.014493 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.0 | 0.014493 | 0.014493 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.014493 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.014493 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.014493 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3 | Arlington | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.027778 | 0.0 | 0.0 | 0.013889 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.041667 | 0.0 | 0.0 | 0.013889 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.013889 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.013889 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.013889 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.00000 | 0.0 | 0.097222 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.013889 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.013889 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.013889 | 0.027778 | 0.013889 | 0.013889 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.013889 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.013889 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.013889 | 0.013889 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.013889 | 0.0 | 0.000000 | 0.0 | 0.013889 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.013889 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.013889 | 0.0 | 0.013889 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.055556 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.013889 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.027778 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.013889 | 0.0 | 0.013889 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.013889 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.027778 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.013889 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.013889 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.013889 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.013889 | 0.0 | 0.000000 | 0.0 | 0.013889 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.013889 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.013889 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.013889 | 0.0 | 0.0 | 0.027778 | 0.0 | 0.0 | 0.0 | 0.013889 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.041667 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.013889 | 0.041667 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.041667 | 0.0 | 0.000000 | 0.0 | 0.013889 | 0.013889 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.013889 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.013889 | 0.0 | 0.0 | 0.0 | 0.0 | 0.013889 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.013889 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4 | Arrochar | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.025974 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025974 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025974 | 0.000000 | 0.051948 | 0.012987 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.025974 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.038961 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012987 | 0.000000 | 0.012987 | 0.012987 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.012987 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.025974 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.025974 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.012987 | 0.0 | 0.000000 | 0.012987 | 0.012987 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.012987 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.012987 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.012987 | 0.000000 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.038961 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025974 | 0.0 | 0.012987 | 0.0 | 0.012987 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.000000 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.012987 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012987 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
nyc_grouped.shape
(306, 577)
Let's print each neighborhood along with the top 5 most common venues
num_top_venues = 5
for hood in nyc_grouped['Neighborhood']:
print("----"+hood+"----")
temp = nyc_grouped[nyc_grouped['Neighborhood'] == hood].T.reset_index()
temp.columns = ['venue','freq']
temp = temp.iloc[1:]
temp['freq'] = temp['freq'].astype(float)
temp = temp.round({'freq': 2})
print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))
print('\n')
----Allerton----
venue freq
0 Salon / Barbershop 0.07
1 Laundry Service 0.06
2 Pizza Place 0.04
3 Gas Station 0.04
4 Non-Profit 0.04
----Annadale----
venue freq
0 Pizza Place 0.08
1 Salon / Barbershop 0.08
2 American Restaurant 0.04
3 Nail Salon 0.04
4 Tattoo Parlor 0.04
----Arden Heights----
venue freq
0 Professional & Other Places 0.06
1 Dentist's Office 0.04
2 Doctor's Office 0.04
3 Church 0.04
4 Bar 0.03
----Arlington----
venue freq
0 Church 0.10
1 Hardware Store 0.06
2 Residential Building (Apartment / Condo) 0.04
3 Professional & Other Places 0.04
4 Salon / Barbershop 0.04
----Arrochar----
venue freq
0 Deli / Bodega 0.05
1 Food Truck 0.04
2 Pizza Place 0.04
3 Liquor Store 0.03
4 Chinese Restaurant 0.03
----Arverne----
venue freq
0 Surf Spot 0.06
1 Bank 0.05
2 Housing Development 0.05
3 Sandwich Place 0.04
4 Playground 0.04
----Astoria----
venue freq
0 Residential Building (Apartment / Condo) 0.16
1 Lounge 0.04
2 Bakery 0.04
3 Deli / Bodega 0.04
4 Latin American Restaurant 0.03
----Astoria Heights----
venue freq
0 Laundry Service 0.08
1 Deli / Bodega 0.06
2 Playground 0.03
3 General Travel 0.03
4 General Entertainment 0.03
----Auburndale----
venue freq
0 Automotive Shop 0.16
1 Train 0.06
2 Nail Salon 0.05
3 Deli / Bodega 0.05
4 Laundry Service 0.03
----Bath Beach----
venue freq
0 Deli / Bodega 0.07
1 Pizza Place 0.05
2 Salon / Barbershop 0.03
3 Residential Building (Apartment / Condo) 0.03
4 Gas Station 0.03
----Battery Park City----
venue freq
0 Residential Building (Apartment / Condo) 0.09
1 Boat or Ferry 0.08
2 Park 0.05
3 Harbor / Marina 0.03
4 Metro Station 0.03
----Bay Ridge----
venue freq
0 Salon / Barbershop 0.06
1 Residential Building (Apartment / Condo) 0.06
2 Spa 0.05
3 Cosmetics Shop 0.05
4 Italian Restaurant 0.05
----Bay Terrace, Queens----
venue freq
0 Residential Building (Apartment / Condo) 0.16
1 Doctor's Office 0.10
2 Women's Store 0.05
3 Pool 0.05
4 Elementary School 0.04
----Bay Terrace, Staten Island----
venue freq
0 Italian Restaurant 0.05
1 Dentist's Office 0.04
2 Gas Station 0.04
3 Housing Development 0.04
4 Deli / Bodega 0.03
----Baychester----
venue freq
0 Gas Station 0.07
1 Chinese Restaurant 0.04
2 Discount Store 0.02
3 Electronics Store 0.02
4 Gym / Fitness Center 0.02
----Bayside----
venue freq
0 Greek Restaurant 0.05
1 Salon / Barbershop 0.05
2 Doctor's Office 0.05
3 Spa 0.04
4 Café 0.04
----Bayswater----
venue freq
0 Plane 0.09
1 Salon / Barbershop 0.04
2 Church 0.04
3 Gas Station 0.04
4 Laundry Service 0.04
----Bedford Park----
venue freq
0 Residential Building (Apartment / Condo) 0.18
1 Deli / Bodega 0.12
2 Church 0.06
3 Salon / Barbershop 0.04
4 Fruit & Vegetable Store 0.03
----Bedford Stuyvesant----
venue freq
0 Deli / Bodega 0.07
1 School 0.05
2 Salon / Barbershop 0.03
3 Laundry Service 0.03
4 Church 0.03
----Beechhurst----
venue freq
0 Salon / Barbershop 0.08
1 Bank 0.04
2 Chinese Restaurant 0.04
3 Doctor's Office 0.04
4 Gym / Fitness Center 0.03
----Bellaire----
venue freq
0 Salon / Barbershop 0.06
1 Chinese Restaurant 0.06
2 Deli / Bodega 0.06
3 Pizza Place 0.05
4 Gas Station 0.04
----Belle Harbor----
venue freq
0 Beach 0.18
1 Boutique 0.05
2 School 0.05
3 Doctor's Office 0.04
4 Salon / Barbershop 0.04
----Bellerose----
venue freq
0 Dentist's Office 0.05
1 Pizza Place 0.04
2 Deli / Bodega 0.04
3 Salon / Barbershop 0.04
4 Automotive Shop 0.04
----Belmont----
venue freq
0 Salon / Barbershop 0.08
1 Italian Restaurant 0.06
2 Deli / Bodega 0.06
3 School 0.05
4 Pub 0.03
----Bensonhurst----
venue freq
0 Doctor's Office 0.08
1 Nail Salon 0.06
2 Design Studio 0.04
3 Italian Restaurant 0.04
4 Park 0.04
----Bergen Beach----
venue freq
0 Doctor's Office 0.08
1 Playground 0.05
2 Salon / Barbershop 0.04
3 Dentist's Office 0.04
4 Event Space 0.04
----Blissville----
venue freq
0 Gas Station 0.09
1 Automotive Shop 0.06
2 Deli / Bodega 0.06
3 Hardware Store 0.06
4 Residential Building (Apartment / Condo) 0.04
----Bloomfield----
venue freq
0 Doctor's Office 0.14
1 Baseball Field 0.05
2 Automotive Shop 0.05
3 Other Great Outdoors 0.04
4 Sporting Goods Shop 0.04
----Boerum Hill----
venue freq
0 Salon / Barbershop 0.09
1 Doctor's Office 0.04
2 Boutique 0.03
3 General Entertainment 0.03
4 Residential Building (Apartment / Condo) 0.03
----Borough Park----
venue freq
0 Synagogue 0.17
1 Bank 0.06
2 Clothing Store 0.06
3 College Academic Building 0.06
4 Doctor's Office 0.03
----Breezy Point----
venue freq
0 Beach 0.15
1 Bar 0.06
2 Church 0.04
3 Surf Spot 0.04
4 Trail 0.04
----Briarwood----
venue freq
0 Residential Building (Apartment / Condo) 0.15
1 Deli / Bodega 0.05
2 Church 0.04
3 Dentist's Office 0.04
4 Playground 0.04
----Brighton Beach----
venue freq
0 Salon / Barbershop 0.04
1 Fruit & Vegetable Store 0.03
2 Gourmet Shop 0.03
3 Health & Beauty Service 0.03
4 Mobile Phone Shop 0.03
----Broad Channel----
venue freq
0 Plane 0.08
1 Harbor / Marina 0.05
2 Church 0.03
3 Deli / Bodega 0.03
4 Park 0.03
----Broadway Junction----
venue freq
0 High School 0.09
1 Metro Station 0.06
2 Other Great Outdoors 0.04
3 Deli / Bodega 0.04
4 Automotive Shop 0.04
----Bronxdale----
venue freq
0 Residential Building (Apartment / Condo) 0.10
1 Doctor's Office 0.07
2 Deli / Bodega 0.07
3 Dentist's Office 0.04
4 Fraternity House 0.03
----Brooklyn Heights----
venue freq
0 Doctor's Office 0.21
1 Residential Building (Apartment / Condo) 0.08
2 Women's Store 0.05
3 Laundry Service 0.05
4 Salon / Barbershop 0.05
----Brookville----
venue freq
0 Doctor's Office 0.06
1 Deli / Bodega 0.04
2 Park 0.04
3 Dentist's Office 0.03
4 Pizza Place 0.03
----Brownsville----
venue freq
0 Church 0.08
1 Residential Building (Apartment / Condo) 0.06
2 Deli / Bodega 0.06
3 School 0.05
4 Housing Development 0.05
----Bulls Head----
venue freq
0 Doctor's Office 0.11
1 Pizza Place 0.07
2 Bank 0.05
3 Dentist's Office 0.04
4 Church 0.04
----Bushwick----
venue freq
0 Thrift / Vintage Store 0.07
1 Coffee Shop 0.06
2 Residential Building (Apartment / Condo) 0.06
3 Deli / Bodega 0.06
4 Bar 0.04
----Butler Manor----
venue freq
0 Italian Restaurant 0.08
1 Park 0.04
2 School 0.04
3 Baseball Field 0.04
4 Beach 0.04
----Cambria Heights----
venue freq
0 Doctor's Office 0.10
1 Caribbean Restaurant 0.09
2 Salon / Barbershop 0.09
3 Cosmetics Shop 0.05
4 Lounge 0.04
----Canarsie----
venue freq
0 Salon / Barbershop 0.13
1 Caribbean Restaurant 0.09
2 Chinese Restaurant 0.06
3 Deli / Bodega 0.04
4 Doctor's Office 0.04
----Carnegie Hill----
venue freq
0 Residential Building (Apartment / Condo) 0.10
1 Event Space 0.05
2 Salon / Barbershop 0.05
3 Spa 0.03
4 Mexican Restaurant 0.03
----Carroll Gardens----
venue freq
0 Residential Building (Apartment / Condo) 0.06
1 Food Truck 0.05
2 Deli / Bodega 0.05
3 Laundry Service 0.04
4 Convenience Store 0.04
----Castle Hill----
venue freq
0 Residential Building (Apartment / Condo) 0.05
1 School 0.05
2 Spanish Restaurant 0.04
3 Medical Center 0.04
4 Emergency Room 0.04
----Castleton Corners----
venue freq
0 Doctor's Office 0.13
1 Church 0.05
2 Deli / Bodega 0.04
3 Salon / Barbershop 0.04
4 Dentist's Office 0.04
----Central Harlem----
venue freq
0 Salon / Barbershop 0.11
1 Residential Building (Apartment / Condo) 0.07
2 Mountain 0.05
3 Gym / Fitness Center 0.04
4 Cosmetics Shop 0.02
----Charleston----
venue freq
0 Doctor's Office 0.08
1 Salon / Barbershop 0.04
2 Big Box Store 0.02
3 Department Store 0.02
4 Shopping Mall 0.02
----Chelsea, Manhattan----
venue freq
0 High School 0.06
1 Deli / Bodega 0.04
2 Church 0.02
3 General Entertainment 0.02
4 Music Venue 0.02
----Chelsea, Staten Island----
venue freq
0 Salon / Barbershop 0.04
1 Automotive Shop 0.04
2 Ice Cream Shop 0.04
3 Italian Restaurant 0.02
4 Pet Service 0.02
----Chinatown----
venue freq
0 Chinese Restaurant 0.10
1 Bakery 0.04
2 Bridge 0.03
3 Park 0.03
4 Athletics & Sports 0.02
----City Island----
venue freq
0 Harbor / Marina 0.07
1 Ice Cream Shop 0.02
2 Residential Building (Apartment / Condo) 0.02
3 Italian Restaurant 0.02
4 Pharmacy 0.02
----City Line----
venue freq
0 Salon / Barbershop 0.09
1 Nail Salon 0.06
2 Chinese Restaurant 0.05
3 Miscellaneous Shop 0.05
4 Convenience Store 0.03
----Civic Center----
venue freq
0 Government Building 0.06
1 Coworking Space 0.06
2 Doctor's Office 0.06
3 Food Truck 0.04
4 Conference Room 0.03
----Claremont Village----
venue freq
0 Salon / Barbershop 0.06
1 Medical Center 0.06
2 Pizza Place 0.05
3 Deli / Bodega 0.05
4 Chinese Restaurant 0.05
----Clason Point----
venue freq
0 Park 0.16
1 Housing Development 0.09
2 Salon / Barbershop 0.05
3 Lounge 0.05
4 Automotive Shop 0.04
----Clifton----
venue freq
0 Gas Station 0.07
1 Pizza Place 0.04
2 Hospital 0.04
3 Automotive Shop 0.04
4 Salon / Barbershop 0.04
----Clinton----
venue freq
0 Theater 0.08
1 Restaurant 0.06
2 Laundry Service 0.04
3 Concert Hall 0.04
4 General Entertainment 0.04
----Clinton Hill----
venue freq
0 Residential Building (Apartment / Condo) 0.06
1 Liquor Store 0.05
2 Deli / Bodega 0.05
3 Miscellaneous Shop 0.05
4 Restaurant 0.03
----Co-op City----
venue freq
0 Residential Building (Apartment / Condo) 0.08
1 School 0.07
2 Other Great Outdoors 0.04
3 Church 0.04
4 Fast Food Restaurant 0.03
----Cobble Hill----
venue freq
0 Residential Building (Apartment / Condo) 0.12
1 Other Great Outdoors 0.07
2 Medical Center 0.05
3 Taxi 0.05
4 Playground 0.04
----College Point----
venue freq
0 Automotive Shop 0.09
1 Bank 0.06
2 Mexican Restaurant 0.06
3 Salon / Barbershop 0.06
4 Doctor's Office 0.03
----Concord----
venue freq
0 Doctor's Office 0.10
1 Deli / Bodega 0.05
2 Chinese Restaurant 0.03
3 Bakery 0.03
4 Automotive Shop 0.03
----Concourse----
venue freq
0 Residential Building (Apartment / Condo) 0.12
1 Salon / Barbershop 0.07
2 Deli / Bodega 0.06
3 Pizza Place 0.06
4 Nail Salon 0.05
----Concourse Village----
venue freq
0 Deli / Bodega 0.10
1 Residential Building (Apartment / Condo) 0.08
2 Salon / Barbershop 0.06
3 Chinese Restaurant 0.05
4 Park 0.04
----Coney Island----
venue freq
0 Deli / Bodega 0.05
1 Housing Development 0.05
2 Residential Building (Apartment / Condo) 0.05
3 Police Station 0.04
4 Medical Center 0.04
----Corona----
venue freq
0 Salon / Barbershop 0.13
1 Deli / Bodega 0.07
2 Mexican Restaurant 0.07
3 Bakery 0.03
4 Doctor's Office 0.03
----Country Club----
venue freq
0 Coffee Shop 0.04
1 Deli / Bodega 0.04
2 Pizza Place 0.04
3 Scenic Lookout 0.03
4 Nail Salon 0.03
----Crown Heights----
venue freq
0 Residential Building (Apartment / Condo) 0.06
1 Deli / Bodega 0.05
2 Pizza Place 0.05
3 Salon / Barbershop 0.05
4 Lounge 0.03
----Cypress Hills----
venue freq
0 Salon / Barbershop 0.15
1 Nail Salon 0.06
2 Deli / Bodega 0.06
3 Pizza Place 0.05
4 Latin American Restaurant 0.05
----Ditmas Park----
venue freq
0 Residential Building (Apartment / Condo) 0.21
1 Deli / Bodega 0.07
2 Salon / Barbershop 0.05
3 Church 0.04
4 Nail Salon 0.04
----Dongan Hills----
venue freq
0 Deli / Bodega 0.12
1 Doctor's Office 0.10
2 Salon / Barbershop 0.06
3 Bar 0.04
4 Church 0.04
----Douglaston----
venue freq
0 Salon / Barbershop 0.06
1 Italian Restaurant 0.05
2 Laundry Service 0.04
3 Pizza Place 0.04
4 Chinese Restaurant 0.04
----Downtown----
venue freq
0 Shoe Store 0.05
1 Gym / Fitness Center 0.04
2 Residential Building (Apartment / Condo) 0.03
3 American Restaurant 0.03
4 Bar 0.02
----Dumbo----
venue freq
0 Art Gallery 0.10
1 Tech Startup 0.08
2 Food Stand 0.05
3 Salon / Barbershop 0.04
4 Food Truck 0.04
----Dyker Heights----
venue freq
0 Doctor's Office 0.12
1 Gas Station 0.07
2 Salon / Barbershop 0.07
3 Dog Run 0.05
4 Deli / Bodega 0.04
----East Elmhurst----
venue freq
0 Salon / Barbershop 0.11
1 Gas Station 0.05
2 Pizza Place 0.04
3 Playground 0.04
4 Plane 0.04
----East Flatbush----
venue freq
0 Caribbean Restaurant 0.06
1 Salon / Barbershop 0.06
2 Deli / Bodega 0.06
3 Chinese Restaurant 0.05
4 Church 0.05
----East Harlem----
venue freq
0 Residential Building (Apartment / Condo) 0.08
1 Clothing Store 0.04
2 Pizza Place 0.04
3 Lawyer 0.03
4 Bank 0.03
----East New York----
venue freq
0 Salon / Barbershop 0.12
1 Deli / Bodega 0.09
2 Laundry Service 0.04
3 School 0.04
4 Spanish Restaurant 0.04
----East Tremont----
venue freq
0 Salon / Barbershop 0.13
1 Food 0.04
2 Cosmetics Shop 0.04
3 Shoe Store 0.03
4 Chinese Restaurant 0.03
----East Village----
venue freq
0 Residential Building (Apartment / Condo) 0.09
1 Salon / Barbershop 0.07
2 American Restaurant 0.03
3 Miscellaneous Shop 0.03
4 Clothing Store 0.02
----East Williamsburg----
venue freq
0 Residential Building (Apartment / Condo) 0.15
1 Deli / Bodega 0.07
2 Art Gallery 0.06
3 Music Venue 0.06
4 Convenience Store 0.04
----Eastchester----
venue freq
0 Automotive Shop 0.26
1 Caribbean Restaurant 0.05
2 Deli / Bodega 0.04
3 Gas Station 0.04
4 Factory 0.04
----Edenwald----
venue freq
0 Salon / Barbershop 0.10
1 Residential Building (Apartment / Condo) 0.10
2 Liquor Store 0.05
3 Church 0.05
4 Deli / Bodega 0.05
----Edgemere----
venue freq
0 Medical Center 0.06
1 Residential Building (Apartment / Condo) 0.05
2 Dog Run 0.05
3 Beach 0.05
4 Deli / Bodega 0.04
----Edgewater Park----
venue freq
0 Italian Restaurant 0.05
1 Deli / Bodega 0.05
2 Pharmacy 0.04
3 Chinese Restaurant 0.04
4 Medical Center 0.04
----Egbertville----
venue freq
0 Doctor's Office 0.10
1 Automotive Shop 0.04
2 Dentist's Office 0.04
3 Trail 0.04
4 Park 0.04
----Elm Park----
venue freq
0 Deli / Bodega 0.11
1 Pizza Place 0.04
2 Restaurant 0.04
3 Salon / Barbershop 0.04
4 Laundry Service 0.03
----Elmhurst----
venue freq
0 Residential Building (Apartment / Condo) 0.13
1 Doctor's Office 0.09
2 Thai Restaurant 0.07
3 Bubble Tea Shop 0.06
4 Optical Shop 0.04
----Eltingville----
venue freq
0 Salon / Barbershop 0.06
1 Nail Salon 0.05
2 Italian Restaurant 0.03
3 Automotive Shop 0.03
4 Butcher 0.03
----Emerson Hill----
venue freq
0 Doctor's Office 0.31
1 Medical Center 0.04
2 Church 0.04
3 Residential Building (Apartment / Condo) 0.04
4 College Library 0.03
----Erasmus----
venue freq
0 Salon / Barbershop 0.19
1 Bakery 0.11
2 Caribbean Restaurant 0.11
3 General Entertainment 0.05
4 Bar 0.05
----Far Rockaway----
venue freq
0 Salon / Barbershop 0.10
1 Deli / Bodega 0.06
2 Nail Salon 0.05
3 Automotive Shop 0.05
4 Chinese Restaurant 0.05
----Fieldston----
venue freq
0 Synagogue 0.06
1 Residential Building (Apartment / Condo) 0.05
2 College Administrative Building 0.05
3 College Quad 0.04
4 College Academic Building 0.04
----Financial District----
venue freq
0 Historic Site 0.06
1 Bar 0.05
2 Food Truck 0.05
3 Food Court 0.03
4 Pet Service 0.03
----Flatbush----
venue freq
0 Residential Building (Apartment / Condo) 0.18
1 Salon / Barbershop 0.08
2 Cocktail Bar 0.03
3 Deli / Bodega 0.03
4 Lounge 0.02
----Flatiron----
venue freq
0 Tech Startup 0.14
1 Clothing Store 0.05
2 Gym / Fitness Center 0.05
3 Sporting Goods Shop 0.05
4 Furniture / Home Store 0.04
----Flatlands----
venue freq
0 Salon / Barbershop 0.10
1 Automotive Shop 0.07
2 Caribbean Restaurant 0.06
3 Pharmacy 0.05
4 Church 0.05
----Floral Park----
venue freq
0 Indian Restaurant 0.12
1 Doctor's Office 0.05
2 Lounge 0.05
3 Salon / Barbershop 0.05
4 Grocery Store 0.04
----Flushing----
venue freq
0 Bar 0.09
1 Korean Restaurant 0.07
2 Karaoke Bar 0.07
3 Chinese Restaurant 0.04
4 Hotel 0.04
----Fordham----
venue freq
0 Clothing Store 0.08
1 Doctor's Office 0.05
2 Deli / Bodega 0.05
3 Bank 0.04
4 Nail Salon 0.04
----Forest Hills----
venue freq
0 Dentist's Office 0.35
1 Doctor's Office 0.23
2 Residential Building (Apartment / Condo) 0.19
3 Bank 0.03
4 Tech Startup 0.03
----Forest Hills Gardens----
venue freq
0 Residential Building (Apartment / Condo) 0.16
1 Salon / Barbershop 0.06
2 Park 0.05
3 Garden 0.04
4 Church 0.04
----Fort Greene----
venue freq
0 Residential Building (Apartment / Condo) 0.12
1 Deli / Bodega 0.09
2 Art Gallery 0.06
3 Bike Rental / Bike Share 0.03
4 Taco Place 0.03
----Fort Hamilton----
venue freq
0 Doctor's Office 0.12
1 Residential Building (Apartment / Condo) 0.07
2 Pizza Place 0.06
3 Laundry Service 0.05
4 Salon / Barbershop 0.05
----Fox Hills----
venue freq
0 Professional & Other Places 0.05
1 Chinese Restaurant 0.05
2 Residential Building (Apartment / Condo) 0.05
3 Housing Development 0.04
4 Non-Profit 0.03
----Fresh Meadows----
venue freq
0 Residential Building (Apartment / Condo) 0.11
1 School 0.07
2 Chinese Restaurant 0.04
3 Laundry Service 0.04
4 Salon / Barbershop 0.04
----Fulton Ferry----
venue freq
0 Food Truck 0.09
1 Pizza Place 0.07
2 American Restaurant 0.06
3 Park 0.06
4 Boat or Ferry 0.05
----Georgetown----
venue freq
0 Doctor's Office 0.12
1 Bank 0.06
2 Medical Center 0.03
3 Chinese Restaurant 0.03
4 Kids Store 0.02
----Gerritsen Beach----
venue freq
0 Bar 0.05
1 Gas Station 0.05
2 Housing Development 0.05
3 Bike Shop 0.04
4 Ice Cream Shop 0.04
----Glen Oaks----
venue freq
0 Hospital 0.08
1 Laundry Service 0.05
2 Bank 0.05
3 Playground 0.05
4 Residential Building (Apartment / Condo) 0.03
----Glendale----
venue freq
0 Doctor's Office 0.13
1 Deli / Bodega 0.08
2 Salon / Barbershop 0.04
3 Church 0.04
4 Chinese Restaurant 0.04
----Gowanus----
venue freq
0 Art Gallery 0.08
1 Design Studio 0.07
2 Coworking Space 0.06
3 Metro Station 0.04
4 Tech Startup 0.04
----Gramercy----
venue freq
0 Doctor's Office 0.15
1 Residential Building (Apartment / Condo) 0.11
2 Medical Center 0.06
3 Dentist's Office 0.05
4 Salon / Barbershop 0.05
----Graniteville----
venue freq
0 Nail Salon 0.04
1 Dentist's Office 0.04
2 Doctor's Office 0.04
3 Automotive Shop 0.03
4 Elementary School 0.03
----Grant City----
venue freq
0 Doctor's Office 0.06
1 Asian Restaurant 0.05
2 Cosmetics Shop 0.05
3 Nail Salon 0.04
4 Fast Food Restaurant 0.04
----Grasmere----
venue freq
0 Doctor's Office 0.06
1 Residential Building (Apartment / Condo) 0.04
2 Chinese Restaurant 0.03
3 Food 0.03
4 Pizza Place 0.03
----Gravesend----
venue freq
0 Deli / Bodega 0.06
1 Automotive Shop 0.06
2 Pizza Place 0.04
3 Furniture / Home Store 0.04
4 Salon / Barbershop 0.04
----Great Kills----
venue freq
0 Salon / Barbershop 0.10
1 Doctor's Office 0.06
2 Nail Salon 0.04
3 Pizza Place 0.04
4 Italian Restaurant 0.03
----Greenpoint----
venue freq
0 Doctor's Office 0.05
1 Deli / Bodega 0.05
2 Butcher 0.05
3 Residential Building (Apartment / Condo) 0.03
4 Medical Lab 0.02
----Greenridge----
venue freq
0 Doctor's Office 0.16
1 Dentist's Office 0.05
2 Professional & Other Places 0.05
3 Parking 0.03
4 Laundry Service 0.03
----Greenwich Village----
venue freq
0 Residential Building (Apartment / Condo) 0.09
1 Taxi 0.09
2 Art Gallery 0.07
3 Salon / Barbershop 0.05
4 Clothing Store 0.03
----Grymes Hill----
venue freq
0 Residential Building (Apartment / Condo) 0.08
1 Church 0.05
2 College Administrative Building 0.05
3 College & University 0.04
4 Dog Run 0.04
----Hamilton Heights----
venue freq
0 Residential Building (Apartment / Condo) 0.13
1 Salon / Barbershop 0.09
2 Deli / Bodega 0.05
3 Bar 0.04
4 Laundry Service 0.04
----Hammels----
venue freq
0 Beach 0.17
1 Residential Building (Apartment / Condo) 0.09
2 Church 0.07
3 Bakery 0.02
4 Automotive Shop 0.02
----Heartland Village----
venue freq
0 Doctor's Office 0.10
1 Dentist's Office 0.04
2 Bagel Shop 0.04
3 Professional & Other Places 0.04
4 Salon / Barbershop 0.04
----High Bridge----
venue freq
0 Salon / Barbershop 0.08
1 Residential Building (Apartment / Condo) 0.07
2 Deli / Bodega 0.06
3 Pharmacy 0.06
4 Laundry Service 0.05
----Highland Park----
venue freq
0 Salon / Barbershop 0.11
1 Church 0.08
2 Moving Target 0.05
3 Laundry Service 0.05
4 Liquor Store 0.05
----Hillcrest----
venue freq
0 College Academic Building 0.06
1 General College & University 0.04
2 Student Center 0.03
3 College Classroom 0.03
4 College Cafeteria 0.03
----Hollis----
venue freq
0 Salon / Barbershop 0.11
1 Automotive Shop 0.05
2 Caribbean Restaurant 0.05
3 Church 0.04
4 Laundry Service 0.04
----Holliswood----
venue freq
0 Doctor's Office 0.09
1 Residential Building (Apartment / Condo) 0.06
2 Gas Station 0.06
3 Dentist's Office 0.05
4 Salon / Barbershop 0.05
----Homecrest----
venue freq
0 Salon / Barbershop 0.10
1 Chinese Restaurant 0.08
2 Asian Restaurant 0.04
3 Bakery 0.03
4 Eastern European Restaurant 0.03
----Howard Beach----
venue freq
0 Salon / Barbershop 0.07
1 Italian Restaurant 0.06
2 Pharmacy 0.03
3 Café 0.02
4 Gym 0.02
----Howland Hook----
venue freq
0 Boat or Ferry 0.08
1 Food 0.06
2 Factory 0.05
3 Bar 0.04
4 Automotive Shop 0.04
----Hudson Yards----
venue freq
0 Furniture / Home Store 0.12
1 Medical Center 0.12
2 Food Truck 0.08
3 Bagel Shop 0.04
4 Donut Shop 0.04
----Huguenot----
venue freq
0 Doctor's Office 0.05
1 Salon / Barbershop 0.05
2 Ice Cream Shop 0.04
3 Deli / Bodega 0.04
4 Other Great Outdoors 0.04
----Hunters Point----
venue freq
0 Deli / Bodega 0.05
1 Salon / Barbershop 0.04
2 Plaza 0.03
3 Yoga Studio 0.02
4 Spa 0.02
----Hunts Point----
venue freq
0 Automotive Shop 0.16
1 Factory 0.08
2 School 0.05
3 Food 0.05
4 Pizza Place 0.05
----Inwood----
venue freq
0 Deli / Bodega 0.05
1 Salon / Barbershop 0.05
2 Laundry Service 0.04
3 Nail Salon 0.04
4 Government Building 0.04
----Jackson Heights----
venue freq
0 Residential Building (Apartment / Condo) 0.18
1 Dentist's Office 0.07
2 Doctor's Office 0.06
3 Latin American Restaurant 0.04
4 Parking 0.04
----Jamaica Center----
venue freq
0 Department Store 0.05
1 Clothing Store 0.05
2 Salon / Barbershop 0.05
3 Government Building 0.04
4 Kids Store 0.04
----Jamaica Estates----
venue freq
0 Church 0.11
1 School 0.11
2 Coworking Space 0.06
3 General College & University 0.06
4 High School 0.06
----Jamaica Hills----
venue freq
0 Salon / Barbershop 0.08
1 Grocery Store 0.07
2 Indian Restaurant 0.07
3 Residential Building (Apartment / Condo) 0.05
4 Dentist's Office 0.04
----Kensington----
venue freq
0 Grocery Store 0.07
1 Bank 0.05
2 Doctor's Office 0.04
3 Mexican Restaurant 0.04
4 Food Truck 0.04
----Kew Gardens----
venue freq
0 Residential Building (Apartment / Condo) 0.08
1 Doctor's Office 0.08
2 Laundry Service 0.04
3 Taxi 0.04
4 Synagogue 0.04
----Kew Gardens Hills----
venue freq
0 Doctor's Office 0.05
1 Dentist's Office 0.05
2 Bank 0.05
3 School 0.04
4 Convenience Store 0.04
----Kingsbridge----
venue freq
0 Laundry Service 0.08
1 Bank 0.05
2 Salon / Barbershop 0.05
3 Boutique 0.05
4 Print Shop 0.02
----Kingsbridge Heights----
venue freq
0 Residential Building (Apartment / Condo) 0.10
1 Salon / Barbershop 0.07
2 Pizza Place 0.06
3 Deli / Bodega 0.05
4 Mexican Restaurant 0.05
----Laurelton----
venue freq
0 Caribbean Restaurant 0.06
1 Salon / Barbershop 0.06
2 Gas Station 0.05
3 Church 0.05
4 Deli / Bodega 0.04
----Lefrak City----
venue freq
0 Residential Building (Apartment / Condo) 0.20
1 Deli / Bodega 0.07
2 Laundry Service 0.07
3 Salon / Barbershop 0.05
4 Cultural Center 0.05
----Lenox Hill----
venue freq
0 Residential Building (Apartment / Condo) 0.11
1 Salon / Barbershop 0.06
2 Nail Salon 0.04
3 Art Gallery 0.04
4 Doctor's Office 0.04
----Lighthouse Hill----
venue freq
0 History Museum 0.06
1 Italian Restaurant 0.06
2 Church 0.05
3 Gas Station 0.03
4 Park 0.03
----Lincoln Square----
venue freq
0 Theater 0.08
1 Performing Arts Venue 0.06
2 High School 0.06
3 Opera House 0.04
4 Residential Building (Apartment / Condo) 0.04
----Lindenwood----
venue freq
0 Doctor's Office 0.17
1 Dentist's Office 0.08
2 Residential Building (Apartment / Condo) 0.06
3 Bank 0.05
4 Deli / Bodega 0.04
----Little Italy----
venue freq
0 Italian Restaurant 0.28
1 Salon / Barbershop 0.05
2 Smoke Shop 0.04
3 Gift Shop 0.04
4 Gourmet Shop 0.04
----Little Neck----
venue freq
0 Chinese Restaurant 0.05
1 Salon / Barbershop 0.05
2 School 0.04
3 Korean Restaurant 0.04
4 Food 0.04
----Long Island City----
venue freq
0 Residential Building (Apartment / Condo) 0.10
1 Deli / Bodega 0.06
2 Café 0.04
3 Sandwich Place 0.04
4 Pizza Place 0.04
----Longwood----
venue freq
0 Pizza Place 0.08
1 Automotive Shop 0.06
2 Train 0.06
3 Mexican Restaurant 0.05
4 Grocery Store 0.04
----Lower East Side----
venue freq
0 Residential Building (Apartment / Condo) 0.19
1 Deli / Bodega 0.06
2 Housing Development 0.06
3 Bike Rental / Bike Share 0.04
4 Art Gallery 0.04
----Madison----
venue freq
0 Doctor's Office 0.13
1 Residential Building (Apartment / Condo) 0.09
2 Synagogue 0.09
3 Dentist's Office 0.08
4 High School 0.04
----Malba----
venue freq
0 Park 0.07
1 Rock Club 0.03
2 Food Truck 0.03
3 Chinese Restaurant 0.03
4 Nail Salon 0.03
----Manhattan Beach----
venue freq
0 Harbor / Marina 0.12
1 Boat or Ferry 0.12
2 Dessert Shop 0.04
3 Turkish Restaurant 0.04
4 Dog Run 0.03
----Manhattan Terrace----
venue freq
0 Doctor's Office 0.12
1 Residential Building (Apartment / Condo) 0.07
2 Dentist's Office 0.07
3 Housing Development 0.05
4 Parking 0.05
----Manhattan Valley----
venue freq
0 Salon / Barbershop 0.2
1 Deli / Bodega 0.2
2 Trailer Park 0.1
3 Laundry Service 0.1
4 Check Cashing Service 0.1
----Manhattanville----
venue freq
0 Residential Building (Apartment / Condo) 0.10
1 College Administrative Building 0.05
2 General College & University 0.04
3 Salon / Barbershop 0.04
4 University 0.04
----Manor Heights----
venue freq
0 Laundry Service 0.04
1 Doctor's Office 0.04
2 Donut Shop 0.04
3 Liquor Store 0.04
4 Miscellaneous Shop 0.03
----Marble Hill----
venue freq
0 Deli / Bodega 0.08
1 Salon / Barbershop 0.07
2 High School 0.06
3 Residential Building (Apartment / Condo) 0.04
4 Church 0.04
----Marine Park----
venue freq
0 Park 0.05
1 Laundry Service 0.04
2 Nail Salon 0.04
3 Doctor's Office 0.04
4 American Restaurant 0.04
----Mariner's Harbor----
venue freq
0 Automotive Shop 0.08
1 Church 0.06
2 Deli / Bodega 0.05
3 Miscellaneous Shop 0.04
4 Professional & Other Places 0.04
----Maspeth----
venue freq
0 Pizza Place 0.09
1 Nail Salon 0.05
2 Dentist's Office 0.04
3 Salon / Barbershop 0.04
4 Bank 0.04
----Melrose----
venue freq
0 Residential Building (Apartment / Condo) 0.10
1 Salon / Barbershop 0.06
2 Doctor's Office 0.06
3 Laundry Service 0.06
4 High School 0.05
----Middle Village----
venue freq
0 Bakery 0.06
1 Chinese Restaurant 0.05
2 Cosmetics Shop 0.05
3 Salon / Barbershop 0.04
4 Miscellaneous Shop 0.03
----Midland Beach----
venue freq
0 Baseball Field 0.09
1 General Travel 0.08
2 Beach 0.05
3 Pet Store 0.05
4 Non-Profit 0.05
----Midtown----
venue freq
0 General College & University 0.11
1 College Administrative Building 0.05
2 Shoe Store 0.05
3 American Restaurant 0.03
4 Mosque 0.03
----Midtown South----
venue freq
0 Taxi 0.06
1 Food Stand 0.05
2 American Restaurant 0.05
3 Spa 0.04
4 Hotel 0.04
----Midwood----
venue freq
0 Residential Building (Apartment / Condo) 0.09
1 Doctor's Office 0.05
2 Bakery 0.04
3 Synagogue 0.04
4 Dentist's Office 0.03
----Mill Basin----
venue freq
0 Dentist's Office 0.08
1 Doctor's Office 0.05
2 Salon / Barbershop 0.05
3 Gas Station 0.05
4 Laundry Service 0.04
----Mill Island----
venue freq
0 Harbor / Marina 0.04
1 Pool 0.04
2 Middle Eastern Restaurant 0.03
3 Hardware Store 0.03
4 Bridal Shop 0.03
----Morningside Heights----
venue freq
0 Food Truck 0.18
1 College Residence Hall 0.07
2 College Academic Building 0.06
3 Student Center 0.05
4 Coffee Shop 0.05
----Morris Heights----
venue freq
0 Residential Building (Apartment / Condo) 0.11
1 Grocery Store 0.06
2 Convenience Store 0.04
3 Salon / Barbershop 0.04
4 Deli / Bodega 0.04
----Morris Park----
venue freq
0 Doctor's Office 0.14
1 Residential Building (Apartment / Condo) 0.05
2 Dentist's Office 0.04
3 Nail Salon 0.04
4 Pizza Place 0.02
----Morrisania----
venue freq
0 Residential Building (Apartment / Condo) 0.06
1 Church 0.06
2 High School 0.06
3 Chinese Restaurant 0.05
4 Deli / Bodega 0.05
----Mott Haven----
venue freq
0 Residential Building (Apartment / Condo) 0.19
1 Salon / Barbershop 0.06
2 Chinese Restaurant 0.05
3 Grocery Store 0.05
4 Church 0.04
----Mount Eden----
venue freq
0 Automotive Shop 0.13
1 Residential Building (Apartment / Condo) 0.07
2 Spanish Restaurant 0.05
3 Pizza Place 0.05
4 Doctor's Office 0.03
----Mount Hope----
venue freq
0 Salon / Barbershop 0.15
1 Residential Building (Apartment / Condo) 0.08
2 Church 0.06
3 Automotive Shop 0.05
4 Deli / Bodega 0.04
----Murray Hill, Manhattan----
venue freq
0 Doctor's Office 0.15
1 Residential Building (Apartment / Condo) 0.12
2 Dentist's Office 0.09
3 Spa 0.03
4 Event Space 0.03
----Murray Hill, Queens----
venue freq
0 Korean Restaurant 0.32
1 Bakery 0.04
2 Doctor's Office 0.04
3 Laundry Service 0.03
4 Salon / Barbershop 0.03
----Neponsit----
venue freq
0 Beach 0.22
1 School 0.05
2 Park 0.03
3 Boutique 0.03
4 Garden 0.02
----New Brighton----
venue freq
0 Deli / Bodega 0.14
1 Church 0.08
2 Park 0.07
3 Playground 0.05
4 Laundry Service 0.04
----New Dorp----
venue freq
0 Salon / Barbershop 0.09
1 Italian Restaurant 0.05
2 Mexican Restaurant 0.05
3 Pet Store 0.04
4 Bakery 0.04
----New Dorp Beach----
venue freq
0 Italian Restaurant 0.04
1 Deli / Bodega 0.04
2 General Entertainment 0.04
3 Salon / Barbershop 0.04
4 Scenic Lookout 0.04
----New Lots----
venue freq
0 Church 0.09
1 Salon / Barbershop 0.08
2 Deli / Bodega 0.05
3 Chinese Restaurant 0.04
4 Laundry Service 0.04
----New Springville----
venue freq
0 Doctor's Office 0.11
1 Deli / Bodega 0.04
2 Salon / Barbershop 0.04
3 Bagel Shop 0.04
4 Mobile Phone Shop 0.04
----Noho----
venue freq
0 Bar 0.10
1 Residential Building (Apartment / Condo) 0.08
2 Deli / Bodega 0.04
3 Salon / Barbershop 0.04
4 Cocktail Bar 0.04
----North Corona----
venue freq
0 Deli / Bodega 0.07
1 Salon / Barbershop 0.05
2 Laundry Service 0.04
3 Latin American Restaurant 0.04
4 Mexican Restaurant 0.04
----North Riverdale----
venue freq
0 Mobile Phone Shop 0.05
1 Salon / Barbershop 0.05
2 Pizza Place 0.04
3 Bank 0.04
4 Gym 0.04
----North Side----
venue freq
0 Residential Building (Apartment / Condo) 0.09
1 Bar 0.06
2 Nightclub 0.03
3 Clothing Store 0.03
4 Wine Bar 0.03
----Norwood----
venue freq
0 Doctor's Office 0.15
1 Park 0.07
2 Residential Building (Apartment / Condo) 0.06
3 Deli / Bodega 0.06
4 Medical Center 0.04
----Oakland Gardens----
venue freq
0 Korean Restaurant 0.08
1 Chinese Restaurant 0.06
2 Dentist's Office 0.05
3 Laundry Service 0.03
4 Sushi Restaurant 0.03
----Oakwood----
venue freq
0 Doctor's Office 0.24
1 Dentist's Office 0.10
2 Church 0.07
3 Medical Center 0.06
4 Other Nightlife 0.03
----Ocean Hill----
venue freq
0 Deli / Bodega 0.11
1 Residential Building (Apartment / Condo) 0.09
2 Salon / Barbershop 0.07
3 Church 0.05
4 Metro Station 0.04
----Ocean Parkway----
venue freq
0 Residential Building (Apartment / Condo) 0.11
1 Doctor's Office 0.08
2 Coworking Space 0.04
3 Dentist's Office 0.04
4 Synagogue 0.04
----Old Town----
venue freq
0 Medical Center 0.06
1 Bank 0.05
2 Italian Restaurant 0.05
3 Bakery 0.05
4 Cosmetics Shop 0.05
----Olinville----
venue freq
0 Salon / Barbershop 0.13
1 Deli / Bodega 0.06
2 Caribbean Restaurant 0.06
3 Residential Building (Apartment / Condo) 0.05
4 Food 0.05
----Ozone Park----
venue freq
0 Deli / Bodega 0.09
1 Pizza Place 0.06
2 Pharmacy 0.05
3 Liquor Store 0.05
4 Nail Salon 0.04
----Paerdegat Basin----
venue freq
0 Doctor's Office 0.09
1 Salon / Barbershop 0.06
2 Harbor / Marina 0.05
3 Caribbean Restaurant 0.04
4 Cemetery 0.04
----Park Hill----
venue freq
0 Residential Building (Apartment / Condo) 0.09
1 Doctor's Office 0.09
2 Event Space 0.03
3 Housing Development 0.03
4 Salon / Barbershop 0.03
----Park Slope----
venue freq
0 Residential Building (Apartment / Condo) 0.08
1 Laundry Service 0.04
2 Deli / Bodega 0.04
3 Nail Salon 0.04
4 Toy / Game Store 0.04
----Parkchester----
venue freq
0 Salon / Barbershop 0.09
1 Laundry Service 0.07
2 Residential Building (Apartment / Condo) 0.07
3 Indian Restaurant 0.05
4 Convenience Store 0.05
----Pelham Bay----
venue freq
0 Medical Center 0.06
1 Salon / Barbershop 0.06
2 Chinese Restaurant 0.05
3 Convenience Store 0.05
4 Residential Building (Apartment / Condo) 0.05
----Pelham Gardens----
venue freq
0 Doctor's Office 0.20
1 Other Great Outdoors 0.04
2 Pharmacy 0.04
3 Playground 0.04
4 Pizza Place 0.04
----Pelham Parkway----
venue freq
0 Doctor's Office 0.10
1 Deli / Bodega 0.06
2 Dentist's Office 0.06
3 Residential Building (Apartment / Condo) 0.06
4 Diner 0.04
----Pleasant Plains----
venue freq
0 Salon / Barbershop 0.12
1 Pizza Place 0.08
2 Bakery 0.04
3 Dessert Shop 0.02
4 Bridge 0.02
----Pomonok----
venue freq
0 Doctor's Office 0.10
1 Residential Building (Apartment / Condo) 0.09
2 Playground 0.06
3 Dentist's Office 0.04
4 Salon / Barbershop 0.04
----Port Ivory----
venue freq
0 Boat or Ferry 0.07
1 Automotive Shop 0.05
2 Playground 0.04
3 Park 0.04
4 Residential Building (Apartment / Condo) 0.03
----Port Morris----
venue freq
0 Factory 0.10
1 Residential Building (Apartment / Condo) 0.07
2 Government Building 0.04
3 Design Studio 0.03
4 Storage Facility 0.03
----Port Richmond----
venue freq
0 Automotive Shop 0.12
1 Deli / Bodega 0.09
2 Pizza Place 0.06
3 Mexican Restaurant 0.05
4 Laundry Service 0.05
----Prince's Bay----
venue freq
0 Salon / Barbershop 0.07
1 Doctor's Office 0.06
2 Church 0.06
3 Dentist's Office 0.04
4 Bank 0.04
----Prospect Heights----
venue freq
0 Residential Building (Apartment / Condo) 0.13
1 Mexican Restaurant 0.05
2 Deli / Bodega 0.05
3 Thai Restaurant 0.04
4 Salon / Barbershop 0.04
----Prospect Lefferts Gardens----
venue freq
0 Residential Building (Apartment / Condo) 0.11
1 Salon / Barbershop 0.09
2 Doctor's Office 0.06
3 Deli / Bodega 0.06
4 School 0.05
----Prospect Park South----
venue freq
0 Residential Building (Apartment / Condo) 0.25
1 Deli / Bodega 0.07
2 Church 0.04
3 Salon / Barbershop 0.04
4 Chinese Restaurant 0.03
----Queens Village----
venue freq
0 Financial or Legal Service 0.06
1 Food 0.06
2 Caribbean Restaurant 0.05
3 Church 0.04
4 Nail Salon 0.04
----Queensboro Hill----
venue freq
0 Chinese Restaurant 0.10
1 Doctor's Office 0.07
2 Asian Restaurant 0.06
3 Hospital 0.05
4 Medical Center 0.05
----Queensbridge----
venue freq
0 Hotel 0.08
1 Deli / Bodega 0.07
2 Miscellaneous Shop 0.07
3 Storage Facility 0.04
4 Metro Station 0.03
----Randall Manor----
venue freq
0 Doctor's Office 0.10
1 High School 0.09
2 Residential Building (Apartment / Condo) 0.08
3 Park 0.04
4 College Classroom 0.04
----Ravenswood----
venue freq
0 Residential Building (Apartment / Condo) 0.14
1 Laundry Service 0.08
2 Pharmacy 0.04
3 Doctor's Office 0.03
4 Grocery Store 0.03
----Red Hook----
venue freq
0 Art Gallery 0.10
1 Furniture / Home Store 0.05
2 Bike Shop 0.03
3 Wine Shop 0.03
4 Bar 0.03
----Rego Park----
venue freq
0 Doctor's Office 0.15
1 Residential Building (Apartment / Condo) 0.13
2 Medical Center 0.04
3 Dentist's Office 0.04
4 General College & University 0.02
----Remsen Village----
venue freq
0 Salon / Barbershop 0.12
1 Church 0.07
2 Automotive Shop 0.05
3 Caribbean Restaurant 0.05
4 Laundry Service 0.03
----Richmond Hill----
venue freq
0 Pizza Place 0.06
1 Convenience Store 0.05
2 Bakery 0.05
3 Nail Salon 0.04
4 Doctor's Office 0.04
----Richmond Town----
venue freq
0 Dentist's Office 0.07
1 Italian Restaurant 0.04
2 School 0.04
3 Grocery Store 0.04
4 Miscellaneous Shop 0.04
----Richmond Valley----
venue freq
0 Salon / Barbershop 0.05
1 Bakery 0.04
2 Fast Food Restaurant 0.04
3 Convenience Store 0.03
4 Nail Salon 0.03
----Ridgewood----
venue freq
0 Deli / Bodega 0.07
1 Hardware Store 0.05
2 Residential Building (Apartment / Condo) 0.04
3 Salon / Barbershop 0.04
4 Cosmetics Shop 0.04
----Riverdale----
venue freq
0 Residential Building (Apartment / Condo) 0.24
1 Synagogue 0.09
2 Doctor's Office 0.06
3 Park 0.05
4 Playground 0.05
----Rochdale----
venue freq
0 Residential Building (Apartment / Condo) 0.14
1 Doctor's Office 0.07
2 Nail Salon 0.06
3 Laundry Service 0.05
4 Park 0.04
----Rockaway Beach----
venue freq
0 Deli / Bodega 0.08
1 Beach 0.08
2 Residential Building (Apartment / Condo) 0.08
3 Pizza Place 0.03
4 Seafood Restaurant 0.03
----Rockaway Park----
venue freq
0 Beach 0.12
1 Doctor's Office 0.08
2 Eye Doctor 0.08
3 Synagogue 0.04
4 Track 0.04
----Roosevelt Island----
venue freq
0 Residential Building (Apartment / Condo) 0.09
1 Church 0.08
2 Laundry Service 0.05
3 Taxi 0.05
4 Art Gallery 0.04
----Rosebank----
venue freq
0 Pizza Place 0.06
1 Italian Restaurant 0.04
2 Mexican Restaurant 0.04
3 Ice Cream Shop 0.04
4 General Entertainment 0.04
----Rosedale----
venue freq
0 Salon / Barbershop 0.07
1 Caribbean Restaurant 0.06
2 Gas Station 0.04
3 Cosmetics Shop 0.04
4 Laundry Service 0.03
----Rossville----
venue freq
0 General Entertainment 0.06
1 Pizza Place 0.05
2 Athletics & Sports 0.04
3 Bar 0.04
4 Medical Center 0.04
----Roxbury----
venue freq
0 Beach 0.10
1 Bar 0.05
2 Hardware Store 0.03
3 Baseball Field 0.03
4 Seafood Restaurant 0.03
----Rugby----
venue freq
0 Caribbean Restaurant 0.09
1 Salon / Barbershop 0.08
2 Laundry Service 0.06
3 Chinese Restaurant 0.06
4 Food 0.05
----Sandy Ground----
venue freq
0 General Entertainment 0.06
1 Elementary School 0.04
2 Athletics & Sports 0.04
3 Other Great Outdoors 0.04
4 Dentist's Office 0.03
----Schuylerville----
venue freq
0 Doctor's Office 0.19
1 Salon / Barbershop 0.08
2 Deli / Bodega 0.07
3 Professional & Other Places 0.05
4 Pharmacy 0.03
----Sea Gate----
venue freq
0 Beach 0.10
1 Housing Development 0.06
2 Residential Building (Apartment / Condo) 0.04
3 Yoga Studio 0.03
4 Optical Shop 0.03
----Sheepshead Bay----
venue freq
0 Harbor / Marina 0.10
1 Residential Building (Apartment / Condo) 0.06
2 Boat or Ferry 0.05
3 Other Great Outdoors 0.04
4 Park 0.04
----Shore Acres----
venue freq
0 Deli / Bodega 0.08
1 Italian Restaurant 0.05
2 Salon / Barbershop 0.05
3 Miscellaneous Shop 0.04
4 Dentist's Office 0.03
----Silver Lake----
venue freq
0 Residential Building (Apartment / Condo) 0.10
1 College Library 0.07
2 General College & University 0.05
3 Cemetery 0.04
4 College Administrative Building 0.04
----Soho----
venue freq
0 Boutique 0.11
1 Clothing Store 0.11
2 Jewelry Store 0.06
3 Women's Store 0.06
4 Event Space 0.05
----Somerville----
venue freq
0 Automotive Shop 0.06
1 Harbor / Marina 0.04
2 Sandwich Place 0.04
3 Farm 0.03
4 Farmers Market 0.03
----Soundview----
venue freq
0 Residential Building (Apartment / Condo) 0.09
1 Housing Development 0.06
2 Laundry Service 0.05
3 Pizza Place 0.04
4 Grocery Store 0.04
----South Beach----
venue freq
0 Hospital 0.13
1 Medical Center 0.10
2 Doctor's Office 0.09
3 Beach 0.05
4 Dentist's Office 0.03
----South Jamaica----
venue freq
0 Automotive Shop 0.13
1 Church 0.12
2 Salon / Barbershop 0.05
3 Laundry Service 0.04
4 Pizza Place 0.04
----South Ozone Park----
venue freq
0 Gas Station 0.09
1 Government Building 0.08
2 Deli / Bodega 0.05
3 Bar 0.04
4 Park 0.04
----South Side----
venue freq
0 Residential Building (Apartment / Condo) 0.13
1 Salon / Barbershop 0.08
2 Indian Restaurant 0.04
3 Tea Room 0.03
4 Deli / Bodega 0.03
----Springfield Gardens----
venue freq
0 Church 0.09
1 Gas Station 0.08
2 Automotive Shop 0.05
3 Chinese Restaurant 0.05
4 Deli / Bodega 0.05
----Spuyten Duyvil----
venue freq
0 Residential Building (Apartment / Condo) 0.18
1 Doctor's Office 0.10
2 Medical Center 0.06
3 Salon / Barbershop 0.04
4 Dentist's Office 0.04
----St. Albans----
venue freq
0 Salon / Barbershop 0.10
1 Caribbean Restaurant 0.07
2 Deli / Bodega 0.07
3 Laundry Service 0.06
4 Church 0.05
----St. George----
venue freq
0 Courthouse 0.07
1 Deli / Bodega 0.07
2 Government Building 0.05
3 Chinese Restaurant 0.04
4 Residential Building (Apartment / Condo) 0.04
----Stapleton----
venue freq
0 Food 0.08
1 Salon / Barbershop 0.08
2 Pizza Place 0.07
3 Church 0.07
4 Deli / Bodega 0.05
----Starrett City----
venue freq
0 Doctor's Office 0.10
1 Laundry Service 0.07
2 Residential Building (Apartment / Condo) 0.06
3 Parking 0.06
4 Pharmacy 0.04
----Steinway----
venue freq
0 Automotive Shop 0.06
1 Deli / Bodega 0.05
2 Pizza Place 0.05
3 Gym / Fitness Center 0.05
4 Rental Car Location 0.04
----Stuyvesant Town----
venue freq
0 Residential Building (Apartment / Condo) 0.42
1 Playground 0.13
2 Park 0.06
3 Coworking Space 0.04
4 Tech Startup 0.04
----Sunnyside Gardens----
venue freq
0 Residential Building (Apartment / Condo) 0.08
1 Laundry Service 0.07
2 Spa 0.05
3 Grocery Store 0.05
4 Nail Salon 0.05
----Sunnyside, Queens----
venue freq
0 Residential Building (Apartment / Condo) 0.10
1 Deli / Bodega 0.07
2 Pizza Place 0.07
3 Laundry Service 0.06
4 Salon / Barbershop 0.05
----Sunnyside, Staten Island----
venue freq
0 Doctor's Office 0.10
1 Theater 0.08
2 College Residence Hall 0.07
3 College Library 0.04
4 Dance Studio 0.04
----Sunset Park----
venue freq
0 Salon / Barbershop 0.06
1 Pizza Place 0.06
2 Optical Shop 0.05
3 Mexican Restaurant 0.04
4 Women's Store 0.04
----Sutton Place----
venue freq
0 Residential Building (Apartment / Condo) 0.09
1 Parking 0.05
2 Gym / Fitness Center 0.04
3 Taxi 0.04
4 Yoga Studio 0.02
----Throgs Neck----
venue freq
0 Other Great Outdoors 0.09
1 Chinese Restaurant 0.05
2 Italian Restaurant 0.05
3 Deli / Bodega 0.04
4 Residential Building (Apartment / Condo) 0.04
----Todt Hill----
venue freq
0 Doctor's Office 0.15
1 Professional & Other Places 0.04
2 Salon / Barbershop 0.03
3 Nail Salon 0.03
4 Sushi Restaurant 0.03
----Tompkinsville----
venue freq
0 Salon / Barbershop 0.10
1 Mexican Restaurant 0.08
2 Church 0.05
3 Caribbean Restaurant 0.05
4 Pizza Place 0.05
----Tottenville----
venue freq
0 Italian Restaurant 0.08
1 School 0.06
2 Temple 0.05
3 Deli / Bodega 0.03
4 Beach 0.03
----Travis----
venue freq
0 Park 0.05
1 Hotel 0.05
2 Automotive Shop 0.05
3 Italian Restaurant 0.04
4 Pizza Place 0.04
----Tribeca----
venue freq
0 Residential Building (Apartment / Condo) 0.07
1 Café 0.04
2 Food Truck 0.04
3 General Entertainment 0.04
4 American Restaurant 0.04
----Tudor City----
venue freq
0 Doctor's Office 0.17
1 Residential Building (Apartment / Condo) 0.15
2 Medical Center 0.06
3 Gym 0.05
4 Laundry Service 0.04
----Turtle Bay----
venue freq
0 Embassy / Consulate 0.13
1 Government Building 0.13
2 Residential Building (Apartment / Condo) 0.12
3 Non-Profit 0.03
4 Tunnel 0.03
----Unionport----
venue freq
0 Salon / Barbershop 0.12
1 Laundry Service 0.07
2 Deli / Bodega 0.06
3 Other Nightlife 0.03
4 Church 0.03
----University Heights----
venue freq
0 College Academic Building 0.08
1 Deli / Bodega 0.07
2 Salon / Barbershop 0.05
3 Bar 0.03
4 Supermarket 0.03
----Upper East Side----
venue freq
0 Doctor's Office 0.31
1 Art Gallery 0.10
2 Residential Building (Apartment / Condo) 0.10
3 Dentist's Office 0.06
4 Medical Center 0.06
----Upper West Side----
venue freq
0 Residential Building (Apartment / Condo) 0.11
1 Shoe Store 0.04
2 Salon / Barbershop 0.04
3 Laundry Service 0.04
4 Nail Salon 0.04
----Utopia----
venue freq
0 Automotive Shop 0.07
1 Deli / Bodega 0.06
2 Laundry Service 0.04
3 Playground 0.04
4 Elementary School 0.04
----Van Nest----
venue freq
0 Deli / Bodega 0.07
1 Salon / Barbershop 0.05
2 Nail Salon 0.05
3 Laundry Service 0.05
4 Pizza Place 0.04
----Vinegar Hill----
venue freq
0 Tech Startup 0.11
1 Art Gallery 0.07
2 Residential Building (Apartment / Condo) 0.05
3 Event Space 0.04
4 General Entertainment 0.04
----Wakefield----
venue freq
0 Salon / Barbershop 0.07
1 Laundry Service 0.06
2 Food 0.03
3 Doctor's Office 0.03
4 Church 0.03
----Washington Heights----
venue freq
0 Residential Building (Apartment / Condo) 0.17
1 Doctor's Office 0.10
2 Salon / Barbershop 0.05
3 Metro Station 0.05
4 Daycare 0.05
----Weeksville----
venue freq
0 Automotive Shop 0.06
1 Caribbean Restaurant 0.06
2 Salon / Barbershop 0.06
3 Chinese Restaurant 0.04
4 Residential Building (Apartment / Condo) 0.04
----West Brighton----
venue freq
0 Doctor's Office 0.06
1 Bank 0.05
2 Gift Shop 0.03
3 Bagel Shop 0.03
4 Salon / Barbershop 0.03
----West Farms----
venue freq
0 Automotive Shop 0.06
1 Doctor's Office 0.04
2 School 0.04
3 Residential Building (Apartment / Condo) 0.04
4 Donut Shop 0.03
----West Village----
venue freq
0 Residential Building (Apartment / Condo) 0.11
1 Cocktail Bar 0.06
2 Salon / Barbershop 0.04
3 Laundry Service 0.04
4 Antique Shop 0.03
----Westchester Square----
venue freq
0 Fast Food Restaurant 0.03
1 Automotive Shop 0.03
2 Nail Salon 0.03
3 Cosmetics Shop 0.03
4 Convenience Store 0.03
----Westerleigh----
venue freq
0 Doctor's Office 0.06
1 Salon / Barbershop 0.04
2 Sushi Restaurant 0.03
3 Bank 0.03
4 Financial or Legal Service 0.03
----Whitestone----
venue freq
0 Deli / Bodega 0.10
1 Italian Restaurant 0.06
2 Salon / Barbershop 0.04
3 Gym 0.04
4 Convenience Store 0.03
----Williamsbridge----
venue freq
0 Church 0.09
1 Salon / Barbershop 0.08
2 Caribbean Restaurant 0.06
3 School 0.04
4 Spa 0.03
----Williamsburg----
venue freq
0 Residential Building (Apartment / Condo) 0.08
1 Pizza Place 0.06
2 Salon / Barbershop 0.05
3 Chinese Restaurant 0.04
4 Park 0.04
----Willowbrook----
venue freq
0 Synagogue 0.07
1 Deli / Bodega 0.06
2 Church 0.06
3 Laundry Service 0.04
4 Dance Studio 0.04
----Windsor Terrace----
venue freq
0 Middle School 0.04
1 Bridge 0.04
2 Deli / Bodega 0.04
3 Hardware Store 0.04
4 Thai Restaurant 0.04
----Wingate----
venue freq
0 Salon / Barbershop 0.07
1 School 0.05
2 Food 0.04
3 Deli / Bodega 0.04
4 Event Space 0.04
----Woodhaven----
venue freq
0 Deli / Bodega 0.11
1 Salon / Barbershop 0.09
2 Laundry Service 0.06
3 Miscellaneous Shop 0.05
4 Liquor Store 0.04
----Woodlawn----
venue freq
0 Bar 0.11
1 Salon / Barbershop 0.06
2 Deli / Bodega 0.06
3 Pizza Place 0.04
4 Church 0.04
----Woodrow----
venue freq
0 Pool 0.05
1 School 0.04
2 Grocery Store 0.04
3 Fish & Chips Shop 0.02
4 Gift Shop 0.02
----Woodside----
venue freq
0 Salon / Barbershop 0.07
1 Bar 0.07
2 Mexican Restaurant 0.05
3 Platform 0.04
4 Thai Restaurant 0.04
----Yorkville----
venue freq
0 Residential Building (Apartment / Condo) 0.25
1 Laundry Service 0.06
2 Spa 0.05
3 Gym 0.03
4 Salon / Barbershop 0.03
First, let's write a function to sort the venues in descending order.
def return_most_common_venues(row, num_top_cat):
row_categories = row.iloc[1:]
row_categories_sorted = row_categories.sort_values(ascending=False)
return row_categories_sorted.index.values[0:num_top_cat]
num_top_cat = 10
indicators = ['st', 'nd', 'rd']
# create columns according to number of top venues
columns = ['Neighborhood']
for ind in np.arange(num_top_cat):
try:
columns.append('{}{} Most Common Category'.format(ind+1, indicators[ind]))
except:
columns.append('{}th Most Common Category'.format(ind+1))
# create a new dataframe
nyc_neighborhoods_categories_sorted = pd.DataFrame(columns=columns)
nyc_neighborhoods_categories_sorted['Neighborhood'] = nyc_grouped['Neighborhood']
for ind in np.arange(nyc_grouped.shape[0]):
nyc_neighborhoods_categories_sorted.iloc[ind, 1:] = return_most_common_venues(
nyc_grouped.iloc[ind, :], num_top_cat)
nyc_neighborhoods_categories_sorted.head()
| Neighborhood | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | 8th Most Common Category | 9th Most Common Category | 10th Most Common Category | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Allerton | Salon / Barbershop | Laundry Service | Food | Pharmacy | Pizza Place | Gas Station | Car Wash | Non-Profit | Funeral Home | Automotive Shop |
| 1 | Annadale | Salon / Barbershop | Pizza Place | American Restaurant | Nail Salon | Tattoo Parlor | Bar | Bagel Shop | Bakery | Pet Store | Doctor's Office |
| 2 | Arden Heights | Professional & Other Places | Church | Dentist's Office | Doctor's Office | Food | Bridge | Other Great Outdoors | Moving Target | Bar | Italian Restaurant |
| 3 | Arlington | Church | Hardware Store | Residential Building (Apartment / Condo) | Salon / Barbershop | Automotive Shop | Professional & Other Places | Playground | Deli / Bodega | American Restaurant | Laundry Service |
| 4 | Arrochar | Deli / Bodega | Pizza Place | Food Truck | Liquor Store | Dance Studio | Restaurant | Salon / Barbershop | Dry Cleaner | Laundry Service | Beach |
Now we apply K-means clustering on the dataframe stored in nyc_grouped variable which includes the relative frequency of each venue-category for each neighborhood.
# set number of clusters
kclusters = 5
nyc_grouped_clustering = nyc_grouped.drop('Neighborhood', 1)
# run k-means clustering
kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(nyc_grouped_clustering)
# check cluster labels generated for each row in the dataframe
kmeans.labels_[0:10]
array([3, 1, 1, 1, 1, 1, 0, 1, 1, 1], dtype=int32)
# add clustering labels
nyc_neighborhoods_categories_sorted.insert(0, 'Cluster Labels', kmeans.labels_)
nyc_merged = nyc_neighborhoods.rename(columns={'Neighborhood': 'Neighborhood'}).copy()
nyc_merged = nyc_merged[~nyc_merged['Neighborhood'].isin(nyc_excluded_neighborhoods)]
# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood
nyc_merged = nyc_merged.join(nyc_neighborhoods_categories_sorted.set_index('Neighborhood'), on='Neighborhood')
nyc_merged.head() # check the last columns!
| Borough | Neighborhood | Latitude | Longitude | Cluster Labels | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | 8th Most Common Category | 9th Most Common Category | 10th Most Common Category | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Bronx | Wakefield | 40.894705 | -73.847201 | 3 | Salon / Barbershop | Laundry Service | Coworking Space | Church | Doctor's Office | Gas Station | Food | Residential Building (Apartment / Condo) | Convenience Store | Professional & Other Places |
| 1 | Bronx | Co-op City | 40.874294 | -73.829939 | 4 | Residential Building (Apartment / Condo) | School | Other Great Outdoors | Church | Pharmacy | Financial or Legal Service | Liquor Store | High School | Laundry Service | Parking |
| 2 | Bronx | Eastchester | 40.887556 | -73.827806 | 1 | Automotive Shop | Caribbean Restaurant | Deli / Bodega | Gas Station | Factory | Metro Station | Hardware Store | Fast Food Restaurant | Church | Bridge |
| 3 | Bronx | Fieldston | 40.895437 | -73.905643 | 1 | Synagogue | Residential Building (Apartment / Condo) | College Administrative Building | College Residence Hall | College Academic Building | College Quad | High School | Historic Site | College Classroom | Park |
| 4 | Bronx | Riverdale | 40.890834 | -73.912585 | 0 | Residential Building (Apartment / Condo) | Synagogue | Doctor's Office | Park | Playground | Athletics & Sports | Beach Bar | Gym / Fitness Center | Dog Run | Pool |
nyc_merged['Cluster Labels']
0 3 1 4 2 1 3 1 4 0 5 1 6 3 7 3 8 2 9 3 10 1 11 2 12 1 13 0 14 3 15 4 16 1 17 3 18 1 19 4 20 4 21 0 22 4 23 1 24 1 25 4 26 4 27 1 28 1 29 1 30 4 31 1 32 3 33 2 34 3 35 0 36 1 37 1 38 2 39 1 40 1 41 3 42 2 43 4 44 3 45 4 46 4 47 1 48 1 49 1 50 1 51 1 52 1 53 2 54 0 55 4 56 3 57 1 58 1 59 4 60 4 61 4 62 4 63 1 64 2 65 4 66 4 67 1 68 1 69 4 70 4 71 3 72 3 73 2 74 3 75 3 76 1 77 1 78 4 79 1 80 1 81 2 82 1 83 1 84 4 85 1 86 1 87 3 88 4 89 4 90 3 91 1 92 4 93 0 94 2 95 4 96 4 97 4 98 4 99 2 100 1 101 0 102 3 103 4 104 4 105 4 106 4 107 2 108 0 109 4 110 4 111 4 112 1 113 1 114 1 115 2 116 1 117 4 118 4 119 0 120 4 121 1 122 1 123 4 124 3 125 1 126 2 127 4 128 1 129 0 130 3 131 0 132 4 133 1 134 3 135 2 136 4 137 1 138 1 139 4 140 4 141 3 142 1 143 1 144 2 145 2 146 3 147 1 148 1 149 1 150 1 151 1 152 1 153 1 154 1 155 1 156 1 157 1 158 4 159 0 160 1 161 1 162 1 163 3 164 3 165 3 166 0 167 1 168 3 169 3 170 3 171 1 172 1 173 1 174 1 175 0 176 1 177 1 178 4 179 1 180 1 181 1 182 2 183 1 184 1 185 1 186 4 187 2 188 3 189 0 190 1 191 1 192 1 193 1 194 3 195 3 196 0 197 1 198 3 199 3 200 1 201 1 202 4 203 2 204 2 205 1 206 1 207 1 208 2 209 2 210 1 211 1 212 2 213 3 214 1 215 1 216 1 217 1 218 3 219 4 220 2 221 0 222 3 223 3 224 4 225 1 226 1 227 1 228 1 229 1 230 1 231 2 232 1 233 1 234 1 235 1 236 1 237 3 238 1 239 1 240 1 241 1 242 2 243 2 244 1 245 2 246 2 247 4 248 4 249 1 250 1 251 1 252 3 253 1 254 2 255 2 256 2 257 1 258 3 259 3 260 3 261 1 262 1 263 3 264 1 265 2 266 1 267 3 268 4 269 1 270 3 271 4 272 1 273 4 274 2 275 0 276 1 277 4 278 1 279 1 280 1 281 3 282 1 283 1 284 1 285 1 286 1 287 2 288 1 289 3 290 1 291 1 292 1 293 1 294 1 295 3 296 2 297 4 298 3 299 4 300 3 301 1 302 4 303 1 304 1 305 4 Name: Cluster Labels, dtype: int32
We will create a map that shows a marker for each neighborhood; the color of the marker represents the cluster of the neighborhood.
# create map
map_clusters = folium.Map(location = [latitude, longitude],
zoom_start= 10,
min_zoom = 9,
max_zoom = 11)
# # set color scheme for the clusters
# colors = {
# nyc_borough_list[0]:'red',
# nyc_borough_list[1]:'blue',
# nyc_borough_list[2]:'yellow',
# nyc_borough_list[3]:'green',
# nyc_borough_list[4]:'orange'}
# add markers to the map
for lat, lon, poi, cluster in zip(nyc_merged['Latitude'], nyc_merged['Longitude'],
nyc_merged['Neighborhood'], nyc_merged['Cluster Labels']):
label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)
folium.CircleMarker(
[lat, lon],
radius=3,
weight=1,
popup =label,
color ='black',
fill =True,
fill_color=colors[nyc_borough_list[cluster]],
fill_opacity=0.8).add_to(map_clusters)
map_clusters
nyc_merged.loc[nyc_merged['Cluster Labels'] == 0,
nyc_merged.columns[[1] + list(range(5, nyc_merged.shape[1]))]]
| Neighborhood | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | 8th Most Common Category | 9th Most Common Category | 10th Most Common Category | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 4 | Riverdale | Residential Building (Apartment / Condo) | Synagogue | Doctor's Office | Park | Playground | Athletics & Sports | Beach Bar | Gym / Fitness Center | Dog Run | Pool |
| 13 | Bedford Park | Residential Building (Apartment / Condo) | Deli / Bodega | Church | Salon / Barbershop | Doctor's Office | School | Laundry Service | Fruit & Vegetable Store | Medical Center | Park |
| 21 | Mott Haven | Residential Building (Apartment / Condo) | Salon / Barbershop | Grocery Store | Chinese Restaurant | Church | Elementary School | Pharmacy | Pizza Place | Department Store | Restaurant |
| 35 | Spuyten Duyvil | Residential Building (Apartment / Condo) | Doctor's Office | Medical Center | Salon / Barbershop | Dentist's Office | Park | American Restaurant | Spa | Nursery School | Deli / Bodega |
| 54 | Flatbush | Residential Building (Apartment / Condo) | Salon / Barbershop | Cocktail Bar | Deli / Bodega | Doctor's Office | Church | Gym | Mexican Restaurant | Lounge | Dentist's Office |
| 93 | Prospect Park South | Residential Building (Apartment / Condo) | Deli / Bodega | Church | Salon / Barbershop | Chinese Restaurant | Financial or Legal Service | Caribbean Restaurant | Non-Profit | Garden | School |
| 101 | Washington Heights | Residential Building (Apartment / Condo) | Doctor's Office | Daycare | Dentist's Office | Salon / Barbershop | Metro Station | Bike Shop | Intersection | Flower Shop | Massage Studio |
| 108 | Yorkville | Residential Building (Apartment / Condo) | Laundry Service | Spa | Flower Shop | Pharmacy | Salon / Barbershop | Gym | Pizza Place | General Entertainment | Taxi |
| 119 | Lower East Side | Residential Building (Apartment / Condo) | Housing Development | Deli / Bodega | Bike Rental / Bike Share | Art Gallery | Bridge | Pizza Place | Diner | Church | Gym |
| 129 | Astoria | Residential Building (Apartment / Condo) | Lounge | Bakery | Deli / Bodega | Church | Bar | Laundry Service | Latin American Restaurant | Dentist's Office | General Travel |
| 131 | Jackson Heights | Residential Building (Apartment / Condo) | Dentist's Office | Doctor's Office | Salon / Barbershop | Latin American Restaurant | School | Parking | Church | Boutique | Gym |
| 159 | Briarwood | Residential Building (Apartment / Condo) | Deli / Bodega | Playground | Dentist's Office | Church | Music Venue | Intersection | General Entertainment | Miscellaneous Shop | Doctor's Office |
| 166 | Rochdale | Residential Building (Apartment / Condo) | Doctor's Office | Nail Salon | Laundry Service | Park | Chinese Restaurant | Market | Pharmacy | Dentist's Office | Fast Food Restaurant |
| 175 | Bay Terrace, Queens | Residential Building (Apartment / Condo) | Doctor's Office | Women's Store | Pool | Bank | Dentist's Office | Elementary School | Playground | Kids Store | General Entertainment |
| 189 | Lefrak City | Residential Building (Apartment / Condo) | Deli / Bodega | Laundry Service | Salon / Barbershop | Cultural Center | Pizza Place | Government Building | Medical Center | Convenience Store | Housing Development |
| 196 | Forest Hills Gardens | Residential Building (Apartment / Condo) | Salon / Barbershop | Park | Garden | Church | Bakery | Grocery Store | Gym | Laundry Service | Restaurant |
| 221 | Ditmas Park | Residential Building (Apartment / Condo) | Deli / Bodega | Salon / Barbershop | Nail Salon | Church | Burger Joint | Dentist's Office | Chinese Restaurant | Bar | Health & Beauty Service |
| 275 | Stuyvesant Town | Residential Building (Apartment / Condo) | Playground | Park | Tech Startup | Coworking Space | Parking | Financial or Legal Service | Bike Rental / Bike Share | Boat or Ferry | Event Space |
nyc_merged.loc[nyc_merged['Cluster Labels'] == 1,
nyc_merged.columns[[1] + list(range(5, nyc_merged.shape[1]))]]
| Neighborhood | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | 8th Most Common Category | 9th Most Common Category | 10th Most Common Category | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | Eastchester | Automotive Shop | Caribbean Restaurant | Deli / Bodega | Gas Station | Factory | Metro Station | Hardware Store | Fast Food Restaurant | Church | Bridge |
| 3 | Fieldston | Synagogue | Residential Building (Apartment / Condo) | College Administrative Building | College Residence Hall | College Academic Building | College Quad | High School | Historic Site | College Classroom | Park |
| 5 | Kingsbridge | Laundry Service | Bank | Salon / Barbershop | Boutique | Mattress Store | Discount Store | Bagel Shop | Gym / Fitness Center | College Bookstore | Pet Store |
| 10 | Baychester | Gas Station | Chinese Restaurant | Donut Shop | Playground | Gym / Fitness Center | Automotive Shop | Fast Food Restaurant | Sandwich Place | Residential Building (Apartment / Condo) | Garden |
| 12 | City Island | Harbor / Marina | Miscellaneous Shop | Antique Shop | Residential Building (Apartment / Condo) | Thrift / Vintage Store | Beach | Park | Grocery Store | Gas Station | Pharmacy |
| 16 | Fordham | Clothing Store | Deli / Bodega | Doctor's Office | Women's Store | Nail Salon | Bank | Shoe Store | Bakery | Non-Profit | Government Building |
| 18 | West Farms | Automotive Shop | Residential Building (Apartment / Condo) | School | Doctor's Office | Post Office | Chinese Restaurant | Sandwich Place | Deli / Bodega | Metro Station | Donut Shop |
| 23 | Longwood | Pizza Place | Train | Automotive Shop | Mexican Restaurant | Food | Salon / Barbershop | Grocery Store | Church | Gas Station | Fast Food Restaurant |
| 24 | Hunts Point | Automotive Shop | Factory | Food | Pizza Place | Mexican Restaurant | School | Spanish Restaurant | Farmers Market | General Entertainment | Hardware Store |
| 27 | Clason Point | Park | Housing Development | Lounge | Salon / Barbershop | Intersection | Event Space | Automotive Shop | Pool | American Restaurant | Cosmetics Shop |
| 28 | Throgs Neck | Other Great Outdoors | Chinese Restaurant | Italian Restaurant | Deli / Bodega | Pizza Place | Residential Building (Apartment / Condo) | General Entertainment | Miscellaneous Shop | Coffee Shop | Japanese Restaurant |
| 29 | Country Club | Coffee Shop | Deli / Bodega | Pizza Place | Salon / Barbershop | Nail Salon | Gym / Fitness Center | Chinese Restaurant | Library | Bar | Playground |
| 31 | Westchester Square | Convenience Store | Salon / Barbershop | Nail Salon | Nightclub | Automotive Shop | Fast Food Restaurant | Cosmetics Shop | Pharmacy | Event Space | Optical Shop |
| 36 | North Riverdale | Salon / Barbershop | Mobile Phone Shop | Gym | Pizza Place | Bank | Residential Building (Apartment / Condo) | American Restaurant | Miscellaneous Shop | Urgent Care Center | Dentist's Office |
| 37 | Pelham Bay | Salon / Barbershop | Medical Center | Chinese Restaurant | Residential Building (Apartment / Condo) | Convenience Store | Bagel Shop | Doctor's Office | Italian Restaurant | Deli / Bodega | General Entertainment |
| 39 | Edgewater Park | Deli / Bodega | Italian Restaurant | Automotive Shop | Salon / Barbershop | Chinese Restaurant | Medical Center | Pharmacy | Fire Station | Bar | Donut Shop |
| 40 | Castle Hill | School | Residential Building (Apartment / Condo) | Medical Center | Financial or Legal Service | Spanish Restaurant | Food | Emergency Room | Pharmacy | Church | Other Great Outdoors |
| 47 | Bensonhurst | Doctor's Office | Nail Salon | Italian Restaurant | Salon / Barbershop | Design Studio | Park | Gas Station | Deli / Bodega | Residential Building (Apartment / Condo) | Pizza Place |
| 48 | Sunset Park | Pizza Place | Salon / Barbershop | Optical Shop | Miscellaneous Shop | Shoe Store | Department Store | Mexican Restaurant | Mobile Phone Shop | Food Truck | Women's Store |
| 49 | Greenpoint | Deli / Bodega | Doctor's Office | Butcher | Residential Building (Apartment / Condo) | Pharmacy | Medical Lab | Pizza Place | Dentist's Office | Salon / Barbershop | Bakery |
| 50 | Gravesend | Automotive Shop | Deli / Bodega | Salon / Barbershop | Spa | Pharmacy | Bakery | Furniture / Home Store | Pizza Place | Martial Arts School | Laundry Service |
| 51 | Brighton Beach | Salon / Barbershop | Gourmet Shop | Restaurant | Sushi Restaurant | Pharmacy | Health & Beauty Service | Eastern European Restaurant | Liquor Store | Fruit & Vegetable Store | Spa |
| 52 | Sheepshead Bay | Harbor / Marina | Residential Building (Apartment / Condo) | Boat or Ferry | Playground | Other Great Outdoors | Park | Bagel Shop | Turkish Restaurant | Lake | Fishing Spot |
| 57 | Kensington | Grocery Store | Bank | Food Truck | Doctor's Office | Mexican Restaurant | Deli / Bodega | Laundry Service | Restaurant | Miscellaneous Shop | Hardware Store |
| 58 | Windsor Terrace | Doctor's Office | School | Hardware Store | Grocery Store | Deli / Bodega | Bridge | Scenic Lookout | Middle School | Thai Restaurant | Medical Center |
| 63 | Bedford Stuyvesant | Deli / Bodega | School | Laundry Service | Salon / Barbershop | Grocery Store | Church | Bike Rental / Bike Share | Food | Hardware Store | Nail Salon |
| 67 | Red Hook | Art Gallery | Furniture / Home Store | Bike Shop | Bar | Wine Shop | Deli / Bodega | Art Studio | Garden | Boutique | Coffee Shop |
| 68 | Gowanus | Art Gallery | Design Studio | Coworking Space | General Entertainment | Tech Startup | Metro Station | Food Truck | Factory | Hardware Store | Parking |
| 76 | Mill Island | Pool | Harbor / Marina | Salon / Barbershop | Middle Eastern Restaurant | Hardware Store | Pizza Place | Bridal Shop | Convenience Store | Moving Target | Other Great Outdoors |
| 77 | Manhattan Beach | Harbor / Marina | Boat or Ferry | Turkish Restaurant | Dessert Shop | Café | Parking | Fishing Spot | Bagel Shop | Sandwich Place | Dog Run |
| 79 | Bath Beach | Deli / Bodega | Pizza Place | Residential Building (Apartment / Condo) | Salon / Barbershop | Gas Station | Doctor's Office | Sushi Restaurant | Restaurant | Halal Restaurant | Lounge |
| 80 | Borough Park | Synagogue | College Academic Building | Bank | Clothing Store | Smoothie Shop | Event Space | Salon / Barbershop | Lounge | Gas Station | School |
| 82 | Gerritsen Beach | Bar | Gas Station | Housing Development | Ice Cream Shop | Boat or Ferry | Bike Shop | Professional & Other Places | Liquor Store | Church | Hookah Bar |
| 83 | Marine Park | Park | Doctor's Office | Nail Salon | Laundry Service | Deli / Bodega | American Restaurant | Gym / Fitness Center | Salon / Barbershop | Coffee Shop | Miscellaneous Shop |
| 85 | Sea Gate | Beach | Housing Development | Residential Building (Apartment / Condo) | Yoga Studio | Pharmacy | Music Venue | Non-Profit | Optical Shop | Event Space | Paper / Office Supplies Store |
| 86 | Downtown | Shoe Store | Gym / Fitness Center | Residential Building (Apartment / Condo) | American Restaurant | Coffee Shop | Bar | Italian Restaurant | Burger Joint | Dumpling Restaurant | Clothing Store |
| 91 | Bergen Beach | Doctor's Office | Playground | Dentist's Office | Event Space | Salon / Barbershop | Medical Center | Deli / Bodega | Park | Café | Moving Target |
| 100 | Chinatown | Chinese Restaurant | Bakery | Park | Bridge | Japanese Restaurant | Asian Restaurant | Fried Chicken Joint | Miscellaneous Shop | Noodle House | Diner |
| 112 | Lincoln Square | Theater | High School | Performing Arts Venue | Concert Hall | Opera House | Residential Building (Apartment / Condo) | Plaza | Library | Event Space | Art Gallery |
| 113 | Clinton | Theater | Restaurant | General Entertainment | Laundry Service | Concert Hall | Cocktail Bar | Gym / Fitness Center | Deli / Bodega | Bar | Parking |
| 114 | Midtown | General College & University | Shoe Store | College Administrative Building | Dance Studio | Mosque | Tech Startup | American Restaurant | Bank | Design Studio | Tailor Shop |
| 116 | Chelsea, Manhattan | High School | Deli / Bodega | Arts & Entertainment | Food Truck | Café | Speakeasy | Church | Residential Building (Apartment / Condo) | Recreation Center | Pizza Place |
| 121 | Little Italy | Italian Restaurant | Salon / Barbershop | Smoke Shop | Gift Shop | Gourmet Shop | Miscellaneous Shop | Pizza Place | Other Nightlife | Bakery | Lounge |
| 122 | Soho | Clothing Store | Boutique | Women's Store | Jewelry Store | Event Space | Men's Store | Furniture / Home Store | Music Venue | Accessories Store | Gym |
| 125 | Morningside Heights | Food Truck | College Residence Hall | College Academic Building | Student Center | Coffee Shop | General College & University | Residential Building (Apartment / Condo) | College Quad | College Classroom | Ice Cream Shop |
| 128 | Financial District | Historic Site | Food Truck | Bar | Gym | Movie Theater | Gym / Fitness Center | Food Court | Financial or Legal Service | Event Space | Doctor's Office |
| 133 | Howard Beach | Salon / Barbershop | Italian Restaurant | Pharmacy | Sandwich Place | Café | Gym | Gas Station | Bagel Shop | Bank | Bridge |
| 137 | Richmond Hill | Pizza Place | Convenience Store | Bakery | Nail Salon | Doctor's Office | Salon / Barbershop | Latin American Restaurant | Residential Building (Apartment / Condo) | Miscellaneous Shop | Caribbean Restaurant |
| 138 | Flushing | Bar | Korean Restaurant | Karaoke Bar | Chinese Restaurant | Hotel | Residential Building (Apartment / Condo) | Church | Pool Hall | Cosmetics Shop | Malay Restaurant |
| 142 | Maspeth | Pizza Place | Nail Salon | Grocery Store | Dentist's Office | Salon / Barbershop | Bank | Hardware Store | Financial or Legal Service | Deli / Bodega | Doctor's Office |
| 143 | Ridgewood | Deli / Bodega | Hardware Store | Italian Restaurant | Cosmetics Shop | Grocery Store | Greek Restaurant | Residential Building (Apartment / Condo) | Salon / Barbershop | Restaurant | Thai Restaurant |
| 147 | Ozone Park | Deli / Bodega | Pizza Place | Liquor Store | Pharmacy | Nail Salon | Bakery | Metro Station | Furniture / Home Store | Spanish Restaurant | Tattoo Parlor |
| 148 | South Ozone Park | Gas Station | Government Building | Deli / Bodega | Park | Bar | Parking | Taxi | Moving Target | Chinese Restaurant | Gym / Fitness Center |
| 149 | College Point | Automotive Shop | Mexican Restaurant | Bank | Salon / Barbershop | Doctor's Office | Deli / Bodega | Gas Station | Laundry Service | School | Butcher |
| 150 | Whitestone | Deli / Bodega | Italian Restaurant | Gym | Salon / Barbershop | Playground | Convenience Store | Laundry Service | Residential Building (Apartment / Condo) | Other Great Outdoors | Bar |
| 151 | Bayside | Greek Restaurant | Salon / Barbershop | Doctor's Office | Spa | Dentist's Office | Café | Pharmacy | Optical Shop | Indian Restaurant | Funeral Home |
| 152 | Auburndale | Automotive Shop | Train | Nail Salon | Deli / Bodega | Event Space | Lawyer | Athletics & Sports | Laundry Service | Residential Building (Apartment / Condo) | School |
| 153 | Little Neck | Chinese Restaurant | Salon / Barbershop | Laundry Service | Food | Korean Restaurant | School | Japanese Restaurant | Cantonese Restaurant | Veterinarian | Deli / Bodega |
| 154 | Douglaston | Salon / Barbershop | Italian Restaurant | Chinese Restaurant | Church | School | Korean Restaurant | Doctor's Office | Pizza Place | Laundry Service | Dentist's Office |
| 155 | Glen Oaks | Hospital | Laundry Service | Playground | Bank | Pharmacy | Pizza Place | Doctor's Office | Residential Building (Apartment / Condo) | Salon / Barbershop | Bike Rental / Bike Share |
| 156 | Bellerose | Dentist's Office | Salon / Barbershop | Automotive Shop | Deli / Bodega | Pizza Place | Italian Restaurant | Arts & Crafts Store | Medical Center | Hardware Store | Health & Beauty Service |
| 157 | Kew Gardens Hills | Doctor's Office | Bank | Dentist's Office | School | Convenience Store | Candy Store | Sushi Restaurant | Restaurant | Pharmacy | Salon / Barbershop |
| 160 | Jamaica Center | Salon / Barbershop | Clothing Store | Department Store | Optical Shop | Government Building | Kids Store | Caribbean Restaurant | Mobile Phone Shop | Grocery Store | Men's Store |
| 161 | Oakland Gardens | Korean Restaurant | Chinese Restaurant | Dentist's Office | Sushi Restaurant | Laundry Service | Pharmacy | Yoga Studio | Salon / Barbershop | Medical Center | Gas Station |
| 162 | Queens Village | Financial or Legal Service | Food | Caribbean Restaurant | Church | Bank | Nail Salon | Parking | Latin American Restaurant | Salon / Barbershop | Deli / Bodega |
| 167 | Springfield Gardens | Church | Gas Station | Chinese Restaurant | Automotive Shop | Deli / Bodega | High School | Donut Shop | Pizza Place | Fried Chicken Joint | Park |
| 171 | Broad Channel | Plane | Harbor / Marina | Park | Deli / Bodega | Church | Fast Food Restaurant | Other Great Outdoors | Beach Bar | Salon / Barbershop | Sandwich Place |
| 172 | Breezy Point | Beach | Bar | Surf Spot | Other Great Outdoors | Church | Monument / Landmark | Basketball Court | Trail | Gym | Playground |
| 173 | Steinway | Automotive Shop | Pizza Place | Gym / Fitness Center | Deli / Bodega | Rental Car Location | Baseball Field | Lounge | Greek Restaurant | Salon / Barbershop | Laundry Service |
| 174 | Beechhurst | Salon / Barbershop | Bank | Chinese Restaurant | Doctor's Office | Pizza Place | Gym / Fitness Center | Dentist's Office | Pharmacy | Optical Shop | Shopping Mall |
| 176 | Edgemere | Medical Center | Residential Building (Apartment / Condo) | Dog Run | Beach | Church | Deli / Bodega | Farm | Metro Station | Pizza Place | Park |
| 177 | Arverne | Surf Spot | Bank | Housing Development | Beach | Playground | Deli / Bodega | Sandwich Place | Chinese Restaurant | Farm | Laundry Service |
| 179 | Neponsit | Beach | School | Park | Boutique | Yoga Studio | Bar | Deli / Bodega | Doctor's Office | Spa | Synagogue |
| 180 | Murray Hill, Queens | Korean Restaurant | Doctor's Office | Bakery | Laundry Service | Salon / Barbershop | Food | Automotive Shop | Gas Station | Karaoke Bar | Asian Restaurant |
| 181 | Floral Park | Indian Restaurant | Lounge | Doctor's Office | Salon / Barbershop | Ice Cream Shop | Dentist's Office | Grocery Store | Financial or Legal Service | Pizza Place | Gym |
| 183 | Jamaica Estates | Church | School | Playground | General College & University | Beer Garden | High School | Speakeasy | Spiritual Center | Moving Target | General Travel |
| 184 | Queensboro Hill | Chinese Restaurant | Doctor's Office | Asian Restaurant | Medical Center | Hospital | Bank | Hospital Ward | Car Wash | Bakery | Liquor Store |
| 185 | Hillcrest | College Academic Building | General College & University | Salon / Barbershop | University | College Cafeteria | Medical Center | College Classroom | Student Center | College Basketball Court | Doctor's Office |
| 190 | Belle Harbor | Beach | Boutique | School | Doctor's Office | Salon / Barbershop | Pub | Garden | Mobile Phone Shop | Spa | Bar |
| 191 | Rockaway Park | Beach | Doctor's Office | Eye Doctor | Bakery | French Restaurant | Track | Physical Therapist | Automotive Shop | General Travel | Park |
| 192 | Somerville | Automotive Shop | Harbor / Marina | Sandwich Place | Airport Gate | Laundry Service | Medical Center | Board Shop | Plane | Farm | Pizza Place |
| 193 | Brookville | Doctor's Office | Deli / Bodega | Park | Fast Food Restaurant | Dentist's Office | Clothing Store | Warehouse | Chinese Restaurant | Pizza Place | Residential Building (Apartment / Condo) |
| 197 | St. George | Courthouse | Deli / Bodega | Government Building | College Classroom | Chinese Restaurant | Residential Building (Apartment / Condo) | College Gym | Pizza Place | Police Station | Sandwich Place |
| 200 | Rosebank | Pizza Place | Ice Cream Shop | Nail Salon | Mexican Restaurant | General Entertainment | Italian Restaurant | Mobile Phone Shop | Pharmacy | Laundromat | Laundry Service |
| 201 | West Brighton | Doctor's Office | Bank | Pizza Place | Bagel Shop | Salon / Barbershop | Breakfast Spot | Gift Shop | Gas Station | Diner | Coffee Shop |
| 205 | Port Richmond | Automotive Shop | Deli / Bodega | Pizza Place | Laundry Service | Mexican Restaurant | Church | Martial Arts School | Breakfast Spot | Doctor's Office | Bar |
| 206 | Mariner's Harbor | Automotive Shop | Church | Deli / Bodega | School | Miscellaneous Shop | Medical Center | Professional & Other Places | Elementary School | Italian Restaurant | High School |
| 207 | Port Ivory | Boat or Ferry | Automotive Shop | Playground | Park | Storage Facility | Doctor's Office | Government Building | Laundry Service | Professional & Other Places | Event Space |
| 210 | Travis | Hotel | Automotive Shop | Park | Bar | Italian Restaurant | Pizza Place | Other Great Outdoors | Bowling Alley | Spanish Restaurant | Church |
| 211 | New Dorp | Salon / Barbershop | Mexican Restaurant | Italian Restaurant | Spa | Bakery | Pet Store | Chiropractor | Dentist's Office | General Entertainment | Event Space |
| 214 | Eltingville | Salon / Barbershop | Nail Salon | Medical Center | Automotive Shop | Bagel Shop | Pizza Place | Italian Restaurant | Butcher | Gym | Diner |
| 215 | Annadale | Salon / Barbershop | Pizza Place | American Restaurant | Nail Salon | Tattoo Parlor | Bar | Bagel Shop | Bakery | Pet Store | Doctor's Office |
| 216 | Woodrow | Pool | School | Grocery Store | Bar | Cocktail Bar | Pharmacy | Salon / Barbershop | Gift Shop | Liquor Store | Laundry Service |
| 217 | Tottenville | Italian Restaurant | School | Temple | Dog Run | Church | Beach | Deli / Bodega | Salon / Barbershop | Bar | Bank |
| 225 | Westerleigh | Doctor's Office | Salon / Barbershop | Financial or Legal Service | Bank | Miscellaneous Shop | Dive Bar | Sushi Restaurant | Nail Salon | Liquor Store | Mobile Phone Shop |
| 226 | Graniteville | Dentist's Office | Nail Salon | Doctor's Office | Elementary School | General Travel | Automotive Shop | Residential Building (Apartment / Condo) | Taxi | Park | Chiropractor |
| 227 | Arlington | Church | Hardware Store | Residential Building (Apartment / Condo) | Salon / Barbershop | Automotive Shop | Professional & Other Places | Playground | Deli / Bodega | American Restaurant | Laundry Service |
| 228 | Arrochar | Deli / Bodega | Pizza Place | Food Truck | Liquor Store | Dance Studio | Restaurant | Salon / Barbershop | Dry Cleaner | Laundry Service | Beach |
| 229 | Grasmere | Doctor's Office | Residential Building (Apartment / Condo) | Dentist's Office | Dance Studio | Chinese Restaurant | Bagel Shop | Church | Grocery Store | Nail Salon | Pizza Place |
| 230 | Old Town | Medical Center | Bakery | Cosmetics Shop | Bank | Italian Restaurant | Chinese Restaurant | Pizza Place | Auto Dealership | Doctor's Office | Automotive Shop |
| 232 | Midland Beach | Baseball Field | General Travel | Non-Profit | Beach | Pet Store | Deli / Bodega | Other Great Outdoors | Pizza Place | Salon / Barbershop | Pool |
| 233 | Grant City | Doctor's Office | Cosmetics Shop | Asian Restaurant | Fast Food Restaurant | Pizza Place | Nail Salon | Police Station | General Entertainment | Veterinarian | Automotive Shop |
| 234 | New Dorp Beach | General Entertainment | Deli / Bodega | Scenic Lookout | Salon / Barbershop | Italian Restaurant | American Restaurant | Sports Bar | Men's Store | Beach | Other Great Outdoors |
| 235 | Bay Terrace, Staten Island | Italian Restaurant | Housing Development | Gas Station | Dentist's Office | Doctor's Office | Ice Cream Shop | Elementary School | Supermarket | Salon / Barbershop | General Entertainment |
| 236 | Huguenot | Doctor's Office | Salon / Barbershop | Ice Cream Shop | Deli / Bodega | Other Great Outdoors | Bank | Asian Restaurant | Pharmacy | Sandwich Place | Parking |
| 238 | Butler Manor | Italian Restaurant | Baseball Field | Park | School | Beach | Scenic Lookout | Pool | Dentist's Office | Doctor's Office | Gym / Fitness Center |
| 239 | Charleston | Doctor's Office | Salon / Barbershop | Dentist's Office | Shopping Mall | Movie Theater | Shoe Store | Big Box Store | Pizza Place | Department Store | Martial Arts School |
| 240 | Rossville | General Entertainment | Pizza Place | Other Great Outdoors | Bar | Medical Center | Athletics & Sports | Automotive Shop | Bookstore | Pool | Gym |
| 241 | Arden Heights | Professional & Other Places | Church | Dentist's Office | Doctor's Office | Food | Bridge | Other Great Outdoors | Moving Target | Bar | Italian Restaurant |
| 244 | Chelsea, Staten Island | Ice Cream Shop | Salon / Barbershop | Automotive Shop | Gym | Church | Miscellaneous Shop | Other Great Outdoors | Pet Service | Bowling Alley | Food |
| 249 | Civic Center | Coworking Space | Government Building | Doctor's Office | Food Truck | Medical Center | Lawyer | Tech Startup | Residential Building (Apartment / Condo) | Mobile Phone Shop | Dance Studio |
| 250 | Midtown South | Taxi | American Restaurant | Food Stand | Hotel | Spa | Event Space | Jewelry Store | Residential Building (Apartment / Condo) | Metro Station | Coffee Shop |
| 251 | Richmond Town | Dentist's Office | Italian Restaurant | School | Grocery Store | Miscellaneous Shop | Laundry Service | High School | Pet Store | Event Space | Deli / Bodega |
| 253 | Clifton | Gas Station | Pizza Place | Hospital | Automotive Shop | Salon / Barbershop | Mexican Restaurant | Ice Cream Shop | Other Great Outdoors | Veterinarian | Hardware Store |
| 257 | Howland Hook | Boat or Ferry | Food | Factory | Harbor / Marina | Bar | Automotive Shop | Government Building | Bridge | Pizza Place | Event Space |
| 261 | Paerdegat Basin | Doctor's Office | Salon / Barbershop | Harbor / Marina | Food | School | Cemetery | Other Nightlife | Lounge | Caribbean Restaurant | Chinese Restaurant |
| 262 | Mill Basin | Dentist's Office | Gas Station | Salon / Barbershop | Doctor's Office | Chinese Restaurant | Laundry Service | Baseball Field | Restaurant | Nail Salon | Bagel Shop |
| 264 | Utopia | Automotive Shop | Deli / Bodega | Playground | Laundry Service | Elementary School | Park | School | Basketball Court | Synagogue | Pharmacy |
| 266 | Astoria Heights | Laundry Service | Deli / Bodega | Playground | General Travel | General Entertainment | Gas Station | Salon / Barbershop | Chinese Restaurant | Italian Restaurant | Food |
| 269 | Mount Eden | Automotive Shop | Residential Building (Apartment / Condo) | Spanish Restaurant | Pizza Place | Bar | Doctor's Office | Other Great Outdoors | Church | Gym | Nightclub |
| 272 | Hunters Point | Deli / Bodega | Salon / Barbershop | Plaza | Yoga Studio | Donut Shop | Spa | Thai Restaurant | Restaurant | Residential Building (Apartment / Condo) | Pizza Place |
| 276 | Flatiron | Tech Startup | Clothing Store | Sporting Goods Shop | Gym / Fitness Center | Furniture / Home Store | Boutique | Women's Store | Taxi | Cycle Studio | Doctor's Office |
| 278 | Blissville | Gas Station | Hardware Store | Deli / Bodega | Automotive Shop | Tech Startup | Residential Building (Apartment / Condo) | Factory | Professional & Other Places | School | Bakery |
| 279 | Fulton Ferry | Food Truck | Pizza Place | American Restaurant | Park | Boat or Ferry | Scenic Lookout | Beer Garden | Ice Cream Shop | Residential Building (Apartment / Condo) | Bar |
| 280 | Vinegar Hill | Tech Startup | Art Gallery | Residential Building (Apartment / Condo) | Event Space | General Entertainment | Gym | Massage Studio | Bike Rental / Bike Share | Middle School | Factory |
| 282 | Broadway Junction | High School | Metro Station | Automotive Shop | Deli / Bodega | Other Great Outdoors | Coffee Shop | Sandwich Place | Playground | Lounge | Caribbean Restaurant |
| 283 | Dumbo | Art Gallery | Tech Startup | Food Stand | Event Space | Food Truck | Salon / Barbershop | Coworking Space | Spa | Advertising Agency | Bookstore |
| 284 | Manor Heights | Doctor's Office | Liquor Store | Laundry Service | Donut Shop | Burger Joint | Chinese Restaurant | Miscellaneous Shop | Salon / Barbershop | Gas Station | Nail Salon |
| 285 | Willowbrook | Synagogue | Church | Deli / Bodega | Laundry Service | Salon / Barbershop | Dance Studio | Dog Run | Spa | General College & University | Coworking Space |
| 286 | Sandy Ground | General Entertainment | Other Great Outdoors | Elementary School | Athletics & Sports | Professional & Other Places | Dentist's Office | Art Gallery | Doctor's Office | Bookstore | Salon / Barbershop |
| 288 | Roxbury | Beach | Bar | Baseball Field | Fire Station | Hardware Store | Theater | Seafood Restaurant | Taco Place | Playground | Food Truck |
| 290 | Middle Village | Bakery | Cosmetics Shop | Chinese Restaurant | Salon / Barbershop | Health & Beauty Service | Martial Arts School | Beer Garden | Thai Restaurant | Miscellaneous Shop | Nail Salon |
| 291 | Prince's Bay | Salon / Barbershop | Doctor's Office | Church | Dentist's Office | Bank | Other Great Outdoors | Pizza Place | Design Studio | Gas Station | Chinese Restaurant |
| 292 | Lighthouse Hill | Italian Restaurant | History Museum | Church | Bagel Shop | Miscellaneous Shop | Park | Medical Center | School | Golf Course | Salon / Barbershop |
| 293 | Richmond Valley | Salon / Barbershop | Bakery | Fast Food Restaurant | Automotive Shop | Nail Salon | Coffee Shop | Convenience Store | Pizza Place | Dessert Shop | Ice Cream Shop |
| 294 | Malba | Park | Chinese Restaurant | Scenic Lookout | Playground | Trade School | Food Truck | Coworking Space | Rock Club | Nail Salon | College Library |
| 301 | Hudson Yards | Medical Center | Furniture / Home Store | Food Truck | American Restaurant | Pizza Place | General Travel | Donut Shop | Tattoo Parlor | Park | Transportation Service |
| 303 | Bayswater | Plane | Church | Salon / Barbershop | Laundry Service | Gas Station | Fast Food Restaurant | Field | Automotive Shop | Athletics & Sports | Boutique |
| 304 | Queensbridge | Hotel | Miscellaneous Shop | Deli / Bodega | Storage Facility | Chinese Restaurant | Metro Station | Residential Building (Apartment / Condo) | Bakery | Bike Rental / Bike Share | Playground |
nyc_merged.loc[nyc_merged['Cluster Labels'] == 2,
nyc_merged.columns[[1] + list(range(5, nyc_merged.shape[1]))]]
| Neighborhood | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | 8th Most Common Category | 9th Most Common Category | 10th Most Common Category | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 8 | Norwood | Doctor's Office | Park | Deli / Bodega | Residential Building (Apartment / Condo) | Medical Center | Food Truck | School | Salon / Barbershop | Laundry Service | Middle School |
| 11 | Pelham Parkway | Doctor's Office | Deli / Bodega | Residential Building (Apartment / Condo) | Dentist's Office | Salon / Barbershop | Diner | Pizza Place | Food | Flower Shop | Café |
| 33 | Morris Park | Doctor's Office | Residential Building (Apartment / Condo) | Nail Salon | Dentist's Office | Ice Cream Shop | Chinese Restaurant | Church | Salon / Barbershop | Restaurant | Real Estate Office |
| 38 | Schuylerville | Doctor's Office | Salon / Barbershop | Deli / Bodega | Professional & Other Places | Pizza Place | Pharmacy | Mental Health Office | Medical Lab | Hardware Store | Donut Shop |
| 42 | Pelham Gardens | Doctor's Office | Pharmacy | Pizza Place | Playground | Other Great Outdoors | Dentist's Office | Gas Station | Sandwich Place | School | Deli / Bodega |
| 53 | Manhattan Terrace | Doctor's Office | Dentist's Office | Residential Building (Apartment / Condo) | Parking | Housing Development | School | Medical Center | Professional & Other Places | Café | Chinese Restaurant |
| 64 | Brooklyn Heights | Doctor's Office | Residential Building (Apartment / Condo) | School | Women's Store | Church | Salon / Barbershop | Laundry Service | Flea Market | Monument / Landmark | Health & Beauty Service |
| 73 | Starrett City | Doctor's Office | Laundry Service | Parking | Residential Building (Apartment / Condo) | Pharmacy | Middle School | Gym / Fitness Center | Salon / Barbershop | School | College Academic Building |
| 81 | Dyker Heights | Doctor's Office | Salon / Barbershop | Gas Station | Dog Run | Event Space | Automotive Shop | Deli / Bodega | Bagel Shop | Emergency Room | Pet Store |
| 94 | Georgetown | Doctor's Office | Bank | Medical Center | Chinese Restaurant | Salon / Barbershop | Gas Station | Medical Lab | Supermarket | Laundry Service | Mobile Phone Shop |
| 99 | Fort Hamilton | Doctor's Office | Residential Building (Apartment / Condo) | Pizza Place | Deli / Bodega | Laundry Service | Salon / Barbershop | Miscellaneous Shop | Diner | Automotive Shop | Chinese Restaurant |
| 107 | Upper East Side | Doctor's Office | Art Gallery | Residential Building (Apartment / Condo) | Medical Center | Dentist's Office | Library | Coffee Shop | Spa | High School | Sculpture Garden |
| 115 | Murray Hill, Manhattan | Doctor's Office | Residential Building (Apartment / Condo) | Dentist's Office | Event Space | Embassy / Consulate | Spa | Hotel | Parking | Gym | Medical Center |
| 126 | Gramercy | Doctor's Office | Residential Building (Apartment / Condo) | Medical Center | Salon / Barbershop | Dentist's Office | Laundry Service | Beer Garden | College Arts Building | Gourmet Shop | Pharmacy |
| 135 | Forest Hills | Dentist's Office | Doctor's Office | Residential Building (Apartment / Condo) | Bank | School | Tech Startup | Professional & Other Places | Library | Elementary School | Convention Center |
| 144 | Glendale | Doctor's Office | Deli / Bodega | Salon / Barbershop | Chinese Restaurant | Church | Event Space | Pizza Place | Basketball Court | School | Park |
| 145 | Rego Park | Doctor's Office | Residential Building (Apartment / Condo) | Medical Center | Dentist's Office | Professional & Other Places | Indian Restaurant | Spa | General College & University | Mediterranean Restaurant | Bank |
| 182 | Holliswood | Doctor's Office | Gas Station | Residential Building (Apartment / Condo) | Salon / Barbershop | Dentist's Office | Bank | Event Space | Bagel Shop | Professional & Other Places | Donut Shop |
| 187 | Lindenwood | Doctor's Office | Dentist's Office | Residential Building (Apartment / Condo) | Bank | Miscellaneous Shop | Medical Center | Deli / Bodega | Weight Loss Center | School | Laundry Service |
| 203 | Todt Hill | Doctor's Office | Professional & Other Places | Other Great Outdoors | Bagel Shop | Salon / Barbershop | Dog Run | Park | Dentist's Office | School | New American Restaurant |
| 204 | South Beach | Hospital | Medical Center | Doctor's Office | Beach | Dentist's Office | BBQ Joint | Gym | College Communications Building | College Auditorium | Emergency Room |
| 208 | Castleton Corners | Doctor's Office | Church | Dentist's Office | Deli / Bodega | Salon / Barbershop | Medical Center | Bakery | Nail Salon | Chiropractor | Miscellaneous Shop |
| 209 | New Springville | Doctor's Office | Salon / Barbershop | Bagel Shop | Mobile Phone Shop | Deli / Bodega | Miscellaneous Shop | Martial Arts School | Flower Shop | Chinese Restaurant | Middle Eastern Restaurant |
| 212 | Oakwood | Doctor's Office | Dentist's Office | Church | Medical Center | Other Great Outdoors | Other Nightlife | Chiropractor | Elementary School | Strip Club | Martial Arts School |
| 220 | Sunnyside, Staten Island | Doctor's Office | Theater | College Residence Hall | Dance Studio | College Library | College Arts Building | College Administrative Building | College Lab | Playground | Indie Theater |
| 231 | Dongan Hills | Deli / Bodega | Doctor's Office | Salon / Barbershop | Bar | Church | Pet Store | Residential Building (Apartment / Condo) | Parking | Garden | Bowling Alley |
| 242 | Greenridge | Doctor's Office | Dentist's Office | Professional & Other Places | Asian Restaurant | Taxi | Laundry Service | Fire Station | Parking | Bowling Alley | Smoke Shop |
| 243 | Heartland Village | Doctor's Office | Salon / Barbershop | Pizza Place | Chinese Restaurant | Dentist's Office | Bagel Shop | Professional & Other Places | Cosmetics Shop | Miscellaneous Shop | Middle Eastern Restaurant |
| 245 | Bloomfield | Doctor's Office | Automotive Shop | Baseball Field | Sporting Goods Shop | Grocery Store | Other Great Outdoors | General College & University | Miscellaneous Shop | Business Center | Cosmetics Shop |
| 246 | Bulls Head | Doctor's Office | Pizza Place | Bank | Dentist's Office | Church | Cosmetics Shop | Hospital | Chinese Restaurant | Salon / Barbershop | Café |
| 254 | Concord | Doctor's Office | Deli / Bodega | Bakery | Salon / Barbershop | Peruvian Restaurant | Martial Arts School | Medical Center | Automotive Shop | Other Great Outdoors | Chinese Restaurant |
| 255 | Emerson Hill | Doctor's Office | Medical Center | Church | Residential Building (Apartment / Condo) | College Library | Spa | College Administrative Building | Lounge | Scenic Lookout | Market |
| 256 | Randall Manor | Doctor's Office | High School | Residential Building (Apartment / Condo) | Park | College Classroom | Medical Center | Deli / Bodega | Automotive Shop | Liquor Store | Pizza Place |
| 265 | Pomonok | Doctor's Office | Residential Building (Apartment / Condo) | Playground | Elementary School | Salon / Barbershop | Dentist's Office | Library | Other Nightlife | Park | Medical Center |
| 274 | Tudor City | Doctor's Office | Residential Building (Apartment / Condo) | Medical Center | Gym | Laundry Service | Hospital | Veterinarian | Train Station | Assisted Living | Lawyer |
| 287 | Egbertville | Doctor's Office | Salon / Barbershop | Automotive Shop | Trail | Park | Dentist's Office | Scenic Lookout | Lake | Pizza Place | Deli / Bodega |
| 296 | Madison | Doctor's Office | Residential Building (Apartment / Condo) | Synagogue | Dentist's Office | Laundry Service | High School | Spa | Student Center | Food | Medical Center |
nyc_merged.loc[nyc_merged['Cluster Labels'] == 3,
nyc_merged.columns[[1] + list(range(5, nyc_merged.shape[1]))]]
| Neighborhood | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | 8th Most Common Category | 9th Most Common Category | 10th Most Common Category | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Wakefield | Salon / Barbershop | Laundry Service | Coworking Space | Church | Doctor's Office | Gas Station | Food | Residential Building (Apartment / Condo) | Convenience Store | Professional & Other Places |
| 6 | Marble Hill | Deli / Bodega | Salon / Barbershop | High School | Residential Building (Apartment / Condo) | Laundry Service | Furniture / Home Store | Church | Housing Development | Wine Shop | Mexican Restaurant |
| 7 | Woodlawn | Bar | Deli / Bodega | Salon / Barbershop | Pub | Church | Food & Drink Shop | Pizza Place | Convenience Store | Gas Station | Cosmetics Shop |
| 9 | Williamsbridge | Church | Salon / Barbershop | Caribbean Restaurant | School | Spa | Nightclub | Nail Salon | Professional & Other Places | Pizza Place | Restaurant |
| 14 | University Heights | College Academic Building | Deli / Bodega | Salon / Barbershop | Supermarket | Bar | Chinese Restaurant | Moving Target | Event Space | Emergency Room | College Administrative Building |
| 17 | East Tremont | Salon / Barbershop | Cosmetics Shop | Food | Church | Shoe Store | Chinese Restaurant | Housing Development | Dentist's Office | Liquor Store | Lounge |
| 32 | Van Nest | Deli / Bodega | Salon / Barbershop | Laundry Service | Nail Salon | Pizza Place | Bank | Miscellaneous Shop | Spanish Restaurant | Chinese Restaurant | Automotive Shop |
| 34 | Belmont | Salon / Barbershop | Deli / Bodega | Italian Restaurant | School | Food | Park | Dessert Shop | Bakery | Laundry Service | Pub |
| 41 | Olinville | Salon / Barbershop | Caribbean Restaurant | Deli / Bodega | Chinese Restaurant | Residential Building (Apartment / Condo) | Food | Bakery | Health & Beauty Service | Liquor Store | Automotive Shop |
| 44 | Unionport | Salon / Barbershop | Laundry Service | Deli / Bodega | Spanish Restaurant | Other Nightlife | Church | Shoe Store | Caribbean Restaurant | Latin American Restaurant | Food |
| 56 | East Flatbush | Caribbean Restaurant | Salon / Barbershop | Deli / Bodega | Chinese Restaurant | Church | Dentist's Office | Fast Food Restaurant | School | Bar | Food |
| 71 | Cypress Hills | Salon / Barbershop | Deli / Bodega | Nail Salon | Laundry Service | Latin American Restaurant | Pizza Place | Non-Profit | Fried Chicken Joint | Chinese Restaurant | Food |
| 72 | East New York | Salon / Barbershop | Deli / Bodega | Laundry Service | Nail Salon | Church | School | Chinese Restaurant | Spanish Restaurant | Liquor Store | Non-Profit |
| 74 | Canarsie | Salon / Barbershop | Caribbean Restaurant | Chinese Restaurant | Doctor's Office | Deli / Bodega | Nail Salon | Grocery Store | Hardware Store | Lounge | School |
| 75 | Flatlands | Salon / Barbershop | Automotive Shop | Caribbean Restaurant | Pharmacy | Church | Laundry Service | Fried Chicken Joint | Liquor Store | Bar | Discount Store |
| 87 | Boerum Hill | Salon / Barbershop | Doctor's Office | General Entertainment | Thrift / Vintage Store | Event Space | Residential Building (Apartment / Condo) | Playground | Boutique | Garden | Nail Salon |
| 90 | City Line | Salon / Barbershop | Nail Salon | Miscellaneous Shop | Chinese Restaurant | Bakery | Cosmetics Shop | Convenience Store | Deli / Bodega | Laundry Service | Food |
| 102 | Inwood | Deli / Bodega | Salon / Barbershop | Nail Salon | Residential Building (Apartment / Condo) | Government Building | Laundry Service | Pharmacy | Mexican Restaurant | Bank | Flower Shop |
| 124 | Manhattan Valley | Deli / Bodega | Salon / Barbershop | Trailer Park | Chinese Restaurant | Laundry Service | Check Cashing Service | Indian Restaurant | Residential Building (Apartment / Condo) | Emergency Room | Empanada Restaurant |
| 130 | Woodside | Bar | Salon / Barbershop | Mexican Restaurant | Platform | Thai Restaurant | Miscellaneous Shop | Deli / Bodega | Fast Food Restaurant | Food Truck | Health & Beauty Service |
| 134 | Corona | Salon / Barbershop | Mexican Restaurant | Deli / Bodega | Chinese Restaurant | Restaurant | Laundry Service | Food | Liquor Store | Doctor's Office | Bakery |
| 141 | East Elmhurst | Salon / Barbershop | Gas Station | Plane | Church | Pizza Place | Playground | Conference Room | Donut Shop | Lounge | Electronics Store |
| 146 | Woodhaven | Deli / Bodega | Salon / Barbershop | Laundry Service | Miscellaneous Shop | Liquor Store | Chinese Restaurant | Doctor's Office | Mexican Restaurant | Dentist's Office | Nail Salon |
| 163 | Hollis | Salon / Barbershop | Caribbean Restaurant | Automotive Shop | Baseball Field | Bakery | Laundry Service | Fried Chicken Joint | Church | Chinese Restaurant | Deli / Bodega |
| 164 | South Jamaica | Automotive Shop | Church | Salon / Barbershop | Non-Profit | Pizza Place | Laundry Service | Rental Car Location | Deli / Bodega | Grocery Store | Chinese Restaurant |
| 165 | St. Albans | Salon / Barbershop | Caribbean Restaurant | Deli / Bodega | Laundry Service | Church | Lounge | Professional & Other Places | Dance Studio | Convenience Store | Nail Salon |
| 168 | Cambria Heights | Doctor's Office | Caribbean Restaurant | Salon / Barbershop | Cosmetics Shop | Dentist's Office | Church | Lounge | Restaurant | Bakery | Mexican Restaurant |
| 169 | Rosedale | Salon / Barbershop | Caribbean Restaurant | Gas Station | Cosmetics Shop | Laundry Service | Fried Chicken Joint | Miscellaneous Shop | Church | Food | Chinese Restaurant |
| 170 | Far Rockaway | Salon / Barbershop | Deli / Bodega | Automotive Shop | Chinese Restaurant | Nail Salon | Mobile Phone Shop | Pizza Place | Cosmetics Shop | Fast Food Restaurant | Caribbean Restaurant |
| 188 | Laurelton | Salon / Barbershop | Caribbean Restaurant | Gas Station | Church | Deli / Bodega | Cosmetics Shop | Automotive Shop | Financial or Legal Service | Nail Salon | Park |
| 194 | Bellaire | Salon / Barbershop | Chinese Restaurant | Deli / Bodega | Pizza Place | Hospital | Gas Station | Fast Food Restaurant | Residential Building (Apartment / Condo) | Automotive Shop | School |
| 195 | North Corona | Deli / Bodega | Salon / Barbershop | Mexican Restaurant | Latin American Restaurant | Food Truck | Hotel | Laundry Service | Taco Place | Church | School |
| 198 | New Brighton | Deli / Bodega | Church | Park | Playground | Laundry Service | Housing Development | Residential Building (Apartment / Condo) | Pizza Place | Convenience Store | Laundromat |
| 199 | Stapleton | Food | Salon / Barbershop | Church | Pizza Place | Deli / Bodega | Bank | Performing Arts Venue | Government Building | Tattoo Parlor | Mexican Restaurant |
| 213 | Great Kills | Salon / Barbershop | Doctor's Office | Nail Salon | Pizza Place | Italian Restaurant | Bar | Bakery | Deli / Bodega | Event Space | Cosmetics Shop |
| 218 | Tompkinsville | Salon / Barbershop | Mexican Restaurant | Caribbean Restaurant | Pizza Place | Church | Grocery Store | Deli / Bodega | Laundry Service | Flower Shop | Elementary School |
| 222 | Wingate | Salon / Barbershop | School | Event Space | Deli / Bodega | Caribbean Restaurant | Food | Lounge | Hardware Store | Automotive Shop | Church |
| 223 | Rugby | Caribbean Restaurant | Salon / Barbershop | Laundry Service | Chinese Restaurant | Food | Deli / Bodega | Elementary School | Restaurant | Design Studio | Bakery |
| 237 | Pleasant Plains | Salon / Barbershop | Pizza Place | Bakery | Dessert Shop | Moving Target | Tanning Salon | Bridge | Spa | Deli / Bodega | Donut Shop |
| 252 | Shore Acres | Deli / Bodega | Italian Restaurant | Salon / Barbershop | Miscellaneous Shop | Food | Gas Station | Chinese Restaurant | Bar | Pizza Place | Dentist's Office |
| 258 | Elm Park | Deli / Bodega | Salon / Barbershop | Restaurant | Pizza Place | Automotive Shop | Italian Restaurant | Nail Salon | Bakery | High School | Laundry Service |
| 259 | Remsen Village | Salon / Barbershop | Church | Automotive Shop | Caribbean Restaurant | Sandwich Place | Food | Laundry Service | Fast Food Restaurant | Post Office | Liquor Store |
| 260 | New Lots | Church | Salon / Barbershop | Deli / Bodega | Grocery Store | Chinese Restaurant | Laundry Service | Caribbean Restaurant | Food | Medical Center | School |
| 263 | Jamaica Hills | Salon / Barbershop | Indian Restaurant | Grocery Store | Residential Building (Apartment / Condo) | Asian Restaurant | Chinese Restaurant | Dentist's Office | Bakery | Gas Station | Other Great Outdoors |
| 267 | Claremont Village | Salon / Barbershop | Medical Center | Deli / Bodega | Pizza Place | Pharmacy | Chinese Restaurant | Cosmetics Shop | Residential Building (Apartment / Condo) | Church | Caribbean Restaurant |
| 270 | Mount Hope | Salon / Barbershop | Residential Building (Apartment / Condo) | Church | Automotive Shop | Chinese Restaurant | Financial or Legal Service | Deli / Bodega | Hookah Bar | Latin American Restaurant | Doctor's Office |
| 281 | Weeksville | Caribbean Restaurant | Salon / Barbershop | Automotive Shop | Chinese Restaurant | Residential Building (Apartment / Condo) | Deli / Bodega | Church | Food | Other Great Outdoors | Fried Chicken Joint |
| 289 | Homecrest | Salon / Barbershop | Chinese Restaurant | Asian Restaurant | Bakery | Eastern European Restaurant | Deli / Bodega | Russian Restaurant | Grocery Store | Hardware Store | Electronics Store |
| 295 | Highland Park | Salon / Barbershop | Church | Laundry Service | Liquor Store | Moving Target | Metro Station | Elementary School | Deli / Bodega | Asian Restaurant | Food |
| 298 | Allerton | Salon / Barbershop | Laundry Service | Food | Pharmacy | Pizza Place | Gas Station | Car Wash | Non-Profit | Funeral Home | Automotive Shop |
| 300 | Erasmus | Salon / Barbershop | Caribbean Restaurant | Bakery | Bar | Food | Other Great Outdoors | General Entertainment | Intersection | Fried Chicken Joint | Lounge |
nyc_merged.loc[nyc_merged['Cluster Labels'] == 4,
nyc_merged.columns[[1] + list(range(5, nyc_merged.shape[1]))]]
| Neighborhood | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | 8th Most Common Category | 9th Most Common Category | 10th Most Common Category | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Co-op City | Residential Building (Apartment / Condo) | School | Other Great Outdoors | Church | Pharmacy | Financial or Legal Service | Liquor Store | High School | Laundry Service | Parking |
| 15 | Morris Heights | Residential Building (Apartment / Condo) | Grocery Store | Salon / Barbershop | Convenience Store | Church | Deli / Bodega | Spanish Restaurant | Supermarket | School | Lounge |
| 19 | High Bridge | Salon / Barbershop | Residential Building (Apartment / Condo) | Deli / Bodega | Pharmacy | Laundry Service | Chinese Restaurant | Food | Restaurant | Grocery Store | Gas Station |
| 20 | Melrose | Residential Building (Apartment / Condo) | Laundry Service | Salon / Barbershop | Doctor's Office | High School | Deli / Bodega | Housing Development | Miscellaneous Shop | Playground | Garden |
| 22 | Port Morris | Factory | Residential Building (Apartment / Condo) | Government Building | Storage Facility | Latin American Restaurant | Bar | Distillery | Plane | Hardware Store | Warehouse |
| 25 | Morrisania | Residential Building (Apartment / Condo) | High School | Church | Chinese Restaurant | Deli / Bodega | Housing Development | Dentist's Office | Seafood Restaurant | Medical Center | Food |
| 26 | Soundview | Residential Building (Apartment / Condo) | Housing Development | Laundry Service | Chinese Restaurant | Liquor Store | Pizza Place | Grocery Store | Church | School | Deli / Bodega |
| 30 | Parkchester | Salon / Barbershop | Residential Building (Apartment / Condo) | Laundry Service | Indian Restaurant | Convenience Store | School | Pizza Place | Doctor's Office | Deli / Bodega | Asian Restaurant |
| 43 | Concourse | Residential Building (Apartment / Condo) | Salon / Barbershop | Deli / Bodega | Pizza Place | Grocery Store | Nail Salon | Laundry Service | Spanish Restaurant | Caribbean Restaurant | Pharmacy |
| 45 | Edenwald | Salon / Barbershop | Residential Building (Apartment / Condo) | Church | Liquor Store | Deli / Bodega | Gas Station | Laundry Service | Playground | Housing Development | Grocery Store |
| 46 | Bay Ridge | Salon / Barbershop | Residential Building (Apartment / Condo) | Italian Restaurant | Cosmetics Shop | Spa | Chinese Restaurant | Deli / Bodega | Pizza Place | Greek Restaurant | Financial or Legal Service |
| 55 | Crown Heights | Residential Building (Apartment / Condo) | Deli / Bodega | Salon / Barbershop | Pizza Place | Laundry Service | Lounge | Grocery Store | Pharmacy | Fried Chicken Joint | Music Venue |
| 59 | Prospect Heights | Residential Building (Apartment / Condo) | Deli / Bodega | Mexican Restaurant | Salon / Barbershop | Thai Restaurant | Coffee Shop | Boutique | Grocery Store | General Entertainment | Scenic Lookout |
| 60 | Brownsville | Church | Residential Building (Apartment / Condo) | Deli / Bodega | Housing Development | School | Park | Middle School | Medical Center | Salon / Barbershop | Laundry Service |
| 61 | Williamsburg | Residential Building (Apartment / Condo) | Pizza Place | Salon / Barbershop | Park | Gym | Chinese Restaurant | Spa | Bar | Train | American Restaurant |
| 62 | Bushwick | Thrift / Vintage Store | Deli / Bodega | Residential Building (Apartment / Condo) | Coffee Shop | Bar | Radio Station | Food | Garden | Laundry Service | Salon / Barbershop |
| 65 | Cobble Hill | Residential Building (Apartment / Condo) | Other Great Outdoors | Medical Center | Taxi | Playground | Church | Hospital Ward | Emergency Room | Garden | Doctor's Office |
| 66 | Carroll Gardens | Residential Building (Apartment / Condo) | Deli / Bodega | Food Truck | Convenience Store | Laundry Service | School | Gift Shop | Beer Garden | Breakfast Spot | Pilates Studio |
| 69 | Fort Greene | Residential Building (Apartment / Condo) | Deli / Bodega | Art Gallery | Yoga Studio | Israeli Restaurant | Student Center | Scenic Lookout | Restaurant | Playground | Pet Café |
| 70 | Park Slope | Residential Building (Apartment / Condo) | Toy / Game Store | Laundry Service | Deli / Bodega | Nail Salon | Japanese Restaurant | Sporting Goods Shop | Pizza Place | Furniture / Home Store | Flea Market |
| 78 | Coney Island | Deli / Bodega | Housing Development | Residential Building (Apartment / Condo) | Beach | Medical Center | Police Station | Park | Dessert Shop | Event Space | Chinese Restaurant |
| 84 | Clinton Hill | Residential Building (Apartment / Condo) | Liquor Store | Miscellaneous Shop | Deli / Bodega | Restaurant | Salon / Barbershop | Seafood Restaurant | Thai Restaurant | Bank | Mexican Restaurant |
| 88 | Prospect Lefferts Gardens | Residential Building (Apartment / Condo) | Salon / Barbershop | Deli / Bodega | Doctor's Office | School | Pizza Place | Art Gallery | Caribbean Restaurant | Laundry Service | Wine Shop |
| 89 | Ocean Hill | Deli / Bodega | Residential Building (Apartment / Condo) | Salon / Barbershop | Church | Metro Station | Laundry Service | Elementary School | School | Nail Salon | Food |
| 92 | Midwood | Residential Building (Apartment / Condo) | Doctor's Office | Bakery | Synagogue | Gym / Fitness Center | Pharmacy | Flower Shop | Café | Miscellaneous Shop | Coffee Shop |
| 95 | East Williamsburg | Residential Building (Apartment / Condo) | Deli / Bodega | Art Gallery | Music Venue | Convenience Store | Food | Bar | General Entertainment | Café | School |
| 96 | North Side | Residential Building (Apartment / Condo) | Bar | Clothing Store | Wine Bar | Food Truck | Nightclub | Vegetarian / Vegan Restaurant | Event Space | Thrift / Vintage Store | Liquor Store |
| 97 | South Side | Residential Building (Apartment / Condo) | Salon / Barbershop | Indian Restaurant | Tea Room | Deli / Bodega | Yoga Studio | Dentist's Office | Clothing Store | Miscellaneous Shop | General Entertainment |
| 98 | Ocean Parkway | Residential Building (Apartment / Condo) | Doctor's Office | Coworking Space | Assisted Living | Dentist's Office | Synagogue | Non-Profit | Grocery Store | Automotive Shop | Furniture / Home Store |
| 103 | Hamilton Heights | Residential Building (Apartment / Condo) | Salon / Barbershop | Deli / Bodega | Non-Profit | Bar | Laundry Service | Church | Italian Restaurant | General Entertainment | Playground |
| 104 | Manhattanville | Residential Building (Apartment / Condo) | College Administrative Building | Salon / Barbershop | Deli / Bodega | General College & University | University | Bank | Gas Station | Food Truck | Café |
| 105 | Central Harlem | Salon / Barbershop | Residential Building (Apartment / Condo) | Mountain | Gym / Fitness Center | Nail Salon | Deli / Bodega | Juice Bar | Church | Non-Profit | Cosmetics Shop |
| 106 | East Harlem | Residential Building (Apartment / Condo) | Pizza Place | Clothing Store | Bank | Lawyer | Hardware Store | Doctor's Office | Pharmacy | Pet Store | Cosmetics Shop |
| 109 | Lenox Hill | Residential Building (Apartment / Condo) | Salon / Barbershop | Doctor's Office | Nail Salon | Art Gallery | Grocery Store | Shoe Store | Italian Restaurant | Spa | Rental Car Location |
| 110 | Roosevelt Island | Residential Building (Apartment / Condo) | Church | Taxi | Laundry Service | Art Gallery | Rental Car Location | Cosmetics Shop | Gym / Fitness Center | Restaurant | Playground |
| 111 | Upper West Side | Residential Building (Apartment / Condo) | Nail Salon | Shoe Store | Cosmetics Shop | Laundry Service | Salon / Barbershop | School | Pizza Place | Burger Joint | Hardware Store |
| 117 | Greenwich Village | Residential Building (Apartment / Condo) | Taxi | Art Gallery | Salon / Barbershop | Kids Store | Clothing Store | Italian Restaurant | Ice Cream Shop | Boutique | Tech Startup |
| 118 | East Village | Residential Building (Apartment / Condo) | Salon / Barbershop | Miscellaneous Shop | American Restaurant | Bakery | Health & Beauty Service | General Entertainment | Clothing Store | Church | Ice Cream Shop |
| 120 | Tribeca | Residential Building (Apartment / Condo) | Food Truck | Café | American Restaurant | General Entertainment | Shoe Store | Bar | Bank | Parking | Furniture / Home Store |
| 123 | West Village | Residential Building (Apartment / Condo) | Cocktail Bar | Salon / Barbershop | Laundry Service | Antique Shop | Coffee Shop | Chinese Restaurant | Café | Art Gallery | Thrift / Vintage Store |
| 127 | Battery Park City | Residential Building (Apartment / Condo) | Boat or Ferry | Park | Harbor / Marina | Metro Station | Food Truck | Plaza | Bar | Gym | Dog Run |
| 132 | Elmhurst | Residential Building (Apartment / Condo) | Doctor's Office | Thai Restaurant | Bubble Tea Shop | Dentist's Office | Optical Shop | Salon / Barbershop | Campground | Chinese Restaurant | Laundry Service |
| 136 | Kew Gardens | Residential Building (Apartment / Condo) | Doctor's Office | Dentist's Office | Synagogue | Laundry Service | Taxi | Pet Store | Financial or Legal Service | Gym | Bakery |
| 139 | Long Island City | Residential Building (Apartment / Condo) | Deli / Bodega | Pizza Place | Café | Coffee Shop | Sandwich Place | Government Building | Bike Rental / Bike Share | Scenic Lookout | American Restaurant |
| 140 | Sunnyside, Queens | Residential Building (Apartment / Condo) | Pizza Place | Deli / Bodega | Laundry Service | Salon / Barbershop | Grocery Store | Factory | Nail Salon | Automotive Shop | Bakery |
| 158 | Fresh Meadows | Residential Building (Apartment / Condo) | School | Salon / Barbershop | Laundry Service | Chinese Restaurant | Pharmacy | New American Restaurant | Nail Salon | Student Center | Music School |
| 178 | Rockaway Beach | Beach | Residential Building (Apartment / Condo) | Deli / Bodega | Surf Spot | Pizza Place | Seafood Restaurant | Bathing Area | Physical Therapist | School | Medical Center |
| 186 | Ravenswood | Residential Building (Apartment / Condo) | Laundry Service | Pharmacy | Doctor's Office | Grocery Store | Bike Rental / Bike Share | Church | Deli / Bodega | Dentist's Office | School |
| 202 | Grymes Hill | Residential Building (Apartment / Condo) | Church | College Administrative Building | Dog Run | Salon / Barbershop | College & University | Food | Automotive Shop | Laundry Service | Historic Site |
| 219 | Silver Lake | Residential Building (Apartment / Condo) | College Library | General College & University | College Administrative Building | Dance Studio | College Classroom | College Residence Hall | Cemetery | Scenic Lookout | American Restaurant |
| 224 | Park Hill | Residential Building (Apartment / Condo) | Doctor's Office | Salon / Barbershop | Event Space | Park | Athletics & Sports | Professional & Other Places | Medical Center | Housing Development | Other Great Outdoors |
| 247 | Carnegie Hill | Residential Building (Apartment / Condo) | Salon / Barbershop | Event Space | Mexican Restaurant | Food | Spa | Art Gallery | Grocery Store | General Entertainment | Laundry Service |
| 248 | Noho | Bar | Residential Building (Apartment / Condo) | Deli / Bodega | Cocktail Bar | Salon / Barbershop | Nail Salon | Coffee Shop | General Entertainment | Thai Restaurant | Taxi |
| 268 | Concourse Village | Deli / Bodega | Residential Building (Apartment / Condo) | Salon / Barbershop | Chinese Restaurant | Park | Kingdom Hall | Gas Station | Church | Convenience Store | Coffee Shop |
| 271 | Sutton Place | Residential Building (Apartment / Condo) | Parking | Taxi | Gym / Fitness Center | Yoga Studio | Laundry Service | Dentist's Office | Diner | Salon / Barbershop | Park |
| 273 | Turtle Bay | Government Building | Embassy / Consulate | Residential Building (Apartment / Condo) | Doctor's Office | Monument / Landmark | Non-Profit | Garden | Tunnel | Meeting Room | College Administrative Building |
| 277 | Sunnyside Gardens | Residential Building (Apartment / Condo) | Laundry Service | Nail Salon | Grocery Store | Spa | Pizza Place | Salon / Barbershop | Doctor's Office | Church | Pub |
| 297 | Bronxdale | Residential Building (Apartment / Condo) | Deli / Bodega | Doctor's Office | Dentist's Office | Chinese Restaurant | Elementary School | Metro Station | Mexican Restaurant | Health & Beauty Service | High School |
| 299 | Kingsbridge Heights | Residential Building (Apartment / Condo) | Salon / Barbershop | Pizza Place | Deli / Bodega | Mexican Restaurant | Park | Food | Electronics Store | Fried Chicken Joint | Bar |
| 302 | Hammels | Beach | Residential Building (Apartment / Condo) | Church | Dog Run | Chinese Restaurant | Bakery | General Entertainment | Elementary School | Automotive Shop | Playground |
| 305 | Fox Hills | Professional & Other Places | Chinese Restaurant | Residential Building (Apartment / Condo) | Housing Development | Salon / Barbershop | Non-Profit | Laundry Service | Church | Student Center | Gas Station |
# !conda install -c anaconda lxml python=3.6 -y
# # # import pandas as pd
# tor_neighborhoodss = pd.read_html('https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M')
# tor_neighborhoods = tor_neighborhoodss[0]
# # tor_neighborhoods.head()
# # tor_neighborhoods.to_pickle("./capstone_data/tor_nbhds.pkl")
# # tor_neighborhoods.head()
# # tor_neighborhoods.columns
# # #
# tor_neighborhoods.to_csv('./capstone_data/tor_nbhds.csv',index=False)
tor_neighborhoods = pd.read_csv('./capstone_data/tor_nbhds.csv')
# tor_neighborhoods = pd.read_pickle("./capstone_data/tor_nbhds.pkl")
tor_neighborhoods.columns
Index(['Postal Code', 'Borough', 'Neighbourhood'], dtype='object')
print('The dataframe has {} boroughs and {} neighborhoods.'.format(
len(tor_neighborhoods['Borough'].unique()),
tor_neighborhoods.shape[0]
)
)
The dataframe has 11 boroughs and 180 neighborhoods.
tor_neighborhoods.columns = ['PostalCode', 'Borough', 'Neighborhood']
tor_neighborhoods.head()
| PostalCode | Borough | Neighborhood | |
|---|---|---|---|
| 0 | M1A | Not assigned | Not assigned |
| 1 | M2A | Not assigned | Not assigned |
| 2 | M3A | North York | Parkwoods |
| 3 | M4A | North York | Victoria Village |
| 4 | M5A | Downtown Toronto | Regent Park, Harbourfront |
indexNames = tor_neighborhoods[tor_neighborhoods['Borough'] == 'Not assigned'].index
indexNames
Int64Index([ 0, 1, 7, 10, 15, 16, 19, 24, 25, 28, 29, 33, 34,
35, 37, 38, 42, 43, 44, 51, 52, 53, 60, 61, 62, 69,
70, 71, 78, 79, 87, 88, 96, 97, 101, 105, 106, 110, 115,
118, 119, 123, 124, 125, 127, 128, 131, 132, 133, 134, 136, 137,
140, 141, 145, 146, 149, 150, 154, 155, 158, 159, 161, 162, 163,
164, 166, 167, 170, 171, 172, 173, 174, 175, 176, 177, 179],
dtype='int64')
tor_neighborhoods.drop(indexNames, inplace = True)
For example, there are two neighborhoods (Harbourfront and Regent Park) that share the same postal code and the same borough (Downtown Toronto) as shown below:
tor_neighborhoods[tor_neighborhoods.PostalCode == 'M5A']
| PostalCode | Borough | Neighborhood | |
|---|---|---|---|
| 4 | M5A | Downtown Toronto | Regent Park, Harbourfront |
tor_neighborhoods = (tor_neighborhoods.groupby(['PostalCode', 'Borough'])['Neighborhood']
.apply(lambda x: "{}".format(', '.join(x))).reset_index())
Now let's take a look at the record of Downtown Toronto borough:
tor_neighborhoods[tor_neighborhoods.PostalCode == 'M5A']
| PostalCode | Borough | Neighborhood | |
|---|---|---|---|
| 53 | M5A | Downtown Toronto | Regent Park, Harbourfront |
# !wget -O ./capstone_data/toronto_nbhds_coords.csv http://cocl.us/Geospatial_data
tor_lat_lng_df = pd.read_csv('./capstone_data/toronto_nbhds_coords.csv')
tor_lat_lng_df.head()
| Postal Code | Latitude | Longitude | |
|---|---|---|---|
| 0 | M1B | 43.806686 | -79.194353 |
| 1 | M1C | 43.784535 | -79.160497 |
| 2 | M1E | 43.763573 | -79.188711 |
| 3 | M1G | 43.770992 | -79.216917 |
| 4 | M1H | 43.773136 | -79.239476 |
tor_neighborhoods.reset_index(drop=True, inplace=True)
tor_neighborhoods['Latitude'] = -99999.9
tor_neighborhoods['Longitude'] = -99999.9
for i in range(tor_neighborhoods.shape[0]):
postalcode = tor_neighborhoods.loc[i, 'PostalCode']
lat = tor_lat_lng_df.loc[tor_lat_lng_df['Postal Code'] == postalcode, 'Latitude'].squeeze()
lng = tor_lat_lng_df.loc[tor_lat_lng_df['Postal Code'] == postalcode, 'Longitude'].squeeze()
tor_neighborhoods.loc[i, 'Latitude'] = lat
tor_neighborhoods.loc[i, 'Longitude'] = lng
tor_neighborhoods.head()
| PostalCode | Borough | Neighborhood | Latitude | Longitude | |
|---|---|---|---|---|---|
| 0 | M1B | Scarborough | Malvern, Rouge | 43.806686 | -79.194353 |
| 1 | M1C | Scarborough | Rouge Hill, Port Union, Highland Creek | 43.784535 | -79.160497 |
| 2 | M1E | Scarborough | Guildwood, Morningside, West Hill | 43.763573 | -79.188711 |
| 3 | M1G | Scarborough | Woburn | 43.770992 | -79.216917 |
| 4 | M1H | Scarborough | Cedarbrae | 43.773136 | -79.239476 |
tor_neighborhoods.shape
(103, 5)
geopy Library to get the coordinates of Toronto¶address = 'Toronto'
geolocator = Nominatim(user_agent="ny_explorer")
location = geolocator.geocode(address)
latitude = location.latitude
longitude = location.longitude
print('The geograpical coordinate of Toronto are {}, {}.'.format(latitude, longitude))
The geograpical coordinate of Toronto are 43.6534817, -79.3839347.
map_toronto = folium.Map(location=[latitude, longitude], zoom_start=10,
min_zoom=9, max_zoom=11)
# add neighborhood markers to map
for lat, lng, borough, neighborhood in zip(tor_neighborhoods['Latitude'], tor_neighborhoods['Longitude'],
tor_neighborhoods['Borough'], tor_neighborhoods['Neighborhood']):
label = '{}, {}'.format(neighborhood, borough)
label = folium.Popup(label, parse_html=True)
folium.CircleMarker(
[lat, lng],
radius=3,
weight=2,
popup=label,
color='#333333',
fill=True,
fill_color='#388e3c',
fill_opacity=0.7,
parse_html=False).add_to(map_toronto)
map_toronto
# We only need to do this once.
# df_tor_nbhd = getNearbyVenues(names = tor_neighborhoods['Neighborhood'],
# latitudes = tor_neighborhoods['Latitude'],
# longitudes = tor_neighborhoods['Longitude']
# )
# df_tor_nbhd.to_csv('./capstone_data/tor_venues.csv',index=False)
tor_venues = pd.read_csv("./capstone_data/tor_venues.csv")
# Removing records where venue is "building" or "office"
tor_venues = tor_venues[~tor_venues['Venue Category'].isin([
'Building', 'Office', 'Bus Line', 'Bus Station', 'Bus Stop', 'Road'])]
print(tor_venues.shape)
tor_venues.head()
(7858, 7)
| Neighborhood | Neighborhood Latitude | Neighborhood Longitude | Venue | Venue Latitude | Venue Longitude | Venue Category | |
|---|---|---|---|---|---|---|---|
| 0 | Malvern, Rouge | 43.806686 | -79.194353 | Rouge Park - Woodland Trail | 43.801782 | -79.200427 | Trail |
| 1 | Malvern, Rouge | 43.806686 | -79.194353 | Alvin Curling Public School | 43.808683 | -79.190103 | Elementary School |
| 2 | Malvern, Rouge | 43.806686 | -79.194353 | Shell | 43.803227 | -79.192414 | Gas Station |
| 4 | Malvern, Rouge | 43.806686 | -79.194353 | Pleasant Corner | 43.801164 | -79.200254 | Shopping Mall |
| 5 | Malvern, Rouge | 43.806686 | -79.194353 | FASTSIGNS | 43.807882 | -79.201968 | Business Service |
tor_venues.groupby('Neighborhood').size()
Neighborhood Agincourt 80 Alderwood, Long Branch 81 Bathurst Manor, Wilson Heights, Downsview North 82 Bayview Village 79 Bedford Park, Lawrence Manor East 87 Berczy Park 65 Birch Cliff, Cliffside West 74 Brockton, Parkdale Village, Exhibition Place 65 Business reply mail Processing Centre, South Central Letter Processing Plant Toronto 71 CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport 98 Caledonia-Fairbanks 83 Canada Post Gateway Processing Centre 56 Cedarbrae 78 Central Bay Street 90 Christie 78 Church and Wellesley 79 Clarks Corners, Tam O'Shanter, Sullivan 86 Cliffside, Cliffcrest, Scarborough Village West 88 Commerce Court, Victoria Hotel 73 Davisville 80 Davisville North 65 Del Ray, Mount Dennis, Keelsdale and Silverthorn 75 Don Mills 137 Dorset Park, Wexford Heights, Scarborough Town Centre 89 Downsview 311 Dufferin, Dovercourt Village 86 East Toronto, Broadview North (Old East York) 71 Eringate, Bloordale Gardens, Old Burnhamthorpe, Markland Wood 80 Fairview, Henry Farm, Oriole 94 First Canadian Place, Underground city 89 Forest Hill North & West, Forest Hill Road Park 68 Garden District, Ryerson 90 Glencairn 80 Golden Mile, Clairlea, Oakridge 72 Guildwood, Morningside, West Hill 60 Harbourfront East, Union Station, Toronto Islands 57 High Park, The Junction South 38 Hillcrest Village 88 Humber Summit 77 Humberlea, Emery 68 Humewood-Cedarvale 64 India Bazaar, The Beaches West 82 Islington Avenue, Humber Valley Village 51 Kennedy Park, Ionview, East Birchmount Park 82 Kensington Market, Chinatown, Grange Park 92 Kingsview Village, St. Phillips, Martin Grove Gardens, Richview Gardens 67 Lawrence Manor, Lawrence Heights 86 Lawrence Park 71 Leaside 90 Little Portugal, Trinity 88 Malvern, Rouge 81 Milliken, Agincourt North, Steeles East, L'Amoreaux East 59 Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West 84 Moore Park, Summerhill East 71 New Toronto, Mimico South, Humber Bay Shores 75 North Park, Maple Leaf Park, Upwood Park 75 North Toronto West, Lawrence Park 81 Northwest, West Humber - Clairville 70 Northwood Park, York University 76 Old Mill South, King's Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East 50 Parkdale, Roncesvalles 78 Parkview Hill, Woodbine Gardens 71 Parkwoods 75 Queen's Park, Ontario Provincial Government 66 Regent Park, Harbourfront 77 Richmond, Adelaide, King 83 Rosedale 69 Roselawn 61 Rouge Hill, Port Union, Highland Creek 78 Runnymede, Swansea 89 Runnymede, The Junction North 90 Scarborough Village 82 South Steeles, Silverstone, Humbergate, Jamestown, Mount Olive, Beaumond Heights, Thistletown, Albion Gardens 94 St. James Town 72 St. James Town, Cabbagetown 86 Steeles West, L'Amoreaux West 93 Stn A PO Boxes 39 Studio District 78 Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park 68 The Annex, North Midtown, Yorkville 73 The Beaches 81 The Danforth West, Riverdale 91 The Kingsway, Montgomery Road, Old Mill North 81 Thorncliffe Park 85 Toronto Dominion Centre, Design Exchange 74 University of Toronto, Harbord 91 Upper Rouge 74 Victoria Village 77 West Deane Park, Princess Gardens, Martin Grove, Islington, Cloverdale 68 Westmount 86 Weston 85 Wexford, Maryvale 85 Willowdale, Newtonbrook 82 Willowdale, Willowdale East 90 Willowdale, Willowdale West 65 Woburn 78 Woodbine Heights 62 York Mills West 76 York Mills, Silver Hills 42 dtype: int64
tor_neighborhoods['Neighborhood'].unique().shape[0], tor_venues['Neighborhood'].unique().shape[0]
(99, 99)
# In case Foursquare does not return any venue for some neighborhoods.
tor_excluded_neighborhoods = set(tor_neighborhoods['Neighborhood']).difference(set(tor_venues['Neighborhood']))
tor_excluded_neighborhoods
set()
print('There are {} uniques categories.'.format(len(tor_venues['Venue Category'].unique())))
There are 508 uniques categories.
Venue Category variable¶'Neighborhood' in tor_venues['Venue Category'].unique()
False
# one hot encoding
tor_onehot = pd.get_dummies(tor_venues[['Venue Category']], prefix="", prefix_sep="")
# # add neighborhood column back to dataframe
# # we used Neighborhood_" instead of just "Neighborhood" because
# # there is a venue category called "Neighborhood"
# tor_onehot['Neighborhood_'] = tor_venues['Neighborhood']
tor_onehot['Neighborhood'] = tor_venues['Neighborhood']
# move neighborhood column to the first column
fixed_columns = [tor_onehot.columns[-1]] + list(tor_onehot.columns[:-1])
tor_onehot = tor_onehot[fixed_columns]
tor_onehot.head()
| Neighborhood | ATM | Accessories Store | Acupuncturist | Adult Boutique | Advertising Agency | Afghan Restaurant | African Restaurant | Airport | Airport Food Court | Airport Gate | Airport Lounge | Airport Service | Airport Terminal | Alternative Healer | American Restaurant | Animal Shelter | Antique Shop | Aquarium | Arcade | Argentinian Restaurant | Art Gallery | Art Studio | Arts & Crafts Store | Arts & Entertainment | Asian Restaurant | Assisted Living | Athletics & Sports | Auditorium | Auto Dealership | Auto Garage | Auto Workshop | Automotive Shop | BBQ Joint | Baby Store | Badminton Court | Bagel Shop | Baggage Claim | Bakery | Ballroom | Bank | Bar | Baseball Field | Basketball Court | Beach | Bed & Breakfast | Beer Bar | Beer Garden | Beer Store | Belgian Restaurant | Big Box Store | Bike Rental / Bike Share | Bike Shop | Bike Trail | Bistro | Blood Donation Center | Board Shop | Boat or Ferry | Bookstore | Boutique | Bowling Alley | Boxing Gym | Breakfast Spot | Brewery | Bridal Shop | Bridge | Bubble Tea Shop | Buffet | Burger Joint | Burmese Restaurant | Burrito Place | Business Center | Business Service | Butcher | Cable Car | Cafeteria | Café | Cajun / Creole Restaurant | Cambodian Restaurant | Camera Store | Campaign Office | Campground | Candy Store | Cantonese Restaurant | Capitol Building | Car Wash | Caribbean Restaurant | Carpet Store | Casino | Cemetery | Cha Chaan Teng | Cheese Shop | Chinese Breakfast Place | Chinese Restaurant | Chiropractor | Chocolate Shop | Church | City Hall | Clothing Store | Club House | Cocktail Bar | Coffee Shop | College & University | College Academic Building | College Administrative Building | College Arts Building | College Auditorium | College Bookstore | College Cafeteria | College Classroom | College Communications Building | College Engineering Building | College Football Field | College Gym | College History Building | College Hockey Rink | College Lab | College Library | College Math Building | College Rec Center | College Residence Hall | College Science Building | College Soccer Field | College Stadium | College Technology Building | College Theater | College Track | Comedy Club | Comfort Food Restaurant | Comic Shop | Community Center | Community College | Concert Hall | Conference Room | Construction & Landscaping | Convenience Store | Convention Center | Cooking School | Corporate Cafeteria | Cosmetics Shop | Costume Shop | Country Dance Club | Courthouse | Coworking Space | Credit Union | Cuban Restaurant | Cultural Center | Cupcake Shop | Currency Exchange | Dance Studio | Daycare | Deli / Bodega | Dentist's Office | Department Store | Design Studio | Dessert Shop | Dim Sum Restaurant | Diner | Discount Store | Distribution Center | Dive Bar | Doctor's Office | Dog Run | Donut Shop | Driving School | Drugstore | Dry Cleaner | Dumpling Restaurant | EV Charging Station | Eastern European Restaurant | Electronics Store | Elementary School | Embassy / Consulate | Emergency Room | English Restaurant | Entertainment Service | Escape Room | Ethiopian Restaurant | Event Space | Eye Doctor | Fabric Shop | Factory | Falafel Restaurant | Farm | Farmers Market | Fast Food Restaurant | Field | Filipino Restaurant | Film Studio | Financial or Legal Service | Fire Station | Fireworks Store | Fish & Chips Shop | Fish Market | Flea Market | Flight School | Flower Shop | Food | Food & Drink Shop | Food Court | Food Service | Food Stand | Food Truck | Frame Store | Fraternity House | French Restaurant | Fried Chicken Joint | Frozen Yogurt Shop | Fruit & Vegetable Store | Funeral Home | Furniture / Home Store | Gaming Cafe | Garden | Garden Center | Gas Station | Gastropub | Gay Bar | General College & University | General Entertainment | General Travel | German Restaurant | Gift Shop | Gluten-free Restaurant | Golf Course | Golf Driving Range | Gourmet Shop | Government Building | Greek Restaurant | Grocery Store | Gym | Gym / Fitness Center | Gym Pool | Hakka Restaurant | Halal Restaurant | Harbor / Marina | Hardware Store | Health & Beauty Service | Health Food Store | Herbs & Spices Store | High School | Hindu Temple | Historic Site | History Museum | Hobby Shop | Hockey Arena | Home Service | Hookah Bar | Hospital | Hospital Ward | Hostel | Hot Dog Joint | Hotel | Hotel Bar | Housing Development | Hungarian Restaurant | IT Services | Ice Cream Shop | Indian Restaurant | Indie Movie Theater | Indie Theater | Industrial Estate | Insurance Office | Intersection | Irish Pub | Italian Restaurant | Japanese Restaurant | Jewelry Store | Jewish Restaurant | Juice Bar | Karaoke Bar | Kebab Restaurant | Kids Store | Kingdom Hall | Kitchen Supply Store | Korean BBQ Restaurant | Korean Restaurant | Lake | Language School | Latin American Restaurant | Laundromat | Laundry Service | Lawyer | Library | Light Rail Station | Lighthouse | Lighting Store | Lingerie Store | Liquor Store | Locksmith | Lottery Retailer | Lounge | Luggage Store | Mac & Cheese Joint | Marijuana Dispensary | Market | Martial Arts School | Massage Studio | Maternity Clinic | Mattress Store | Medical Center | Medical Lab | Medical School | Medical Supply Store | Mediterranean Restaurant | Meeting Room | Men's Store | Mental Health Office | Metro Station | Mexican Restaurant | Middle Eastern Restaurant | Middle School | Mini Golf | Miscellaneous Shop | Mobile Phone Shop | Mobility Store | Modern European Restaurant | Monument / Landmark | Moroccan Restaurant | Mosque | Motel | Motorcycle Shop | Mountain | Movie Theater | Moving Target | Museum | Music School | Music Store | Music Venue | Nail Salon | National Park | New American Restaurant | Newsagent | Newsstand | Nightclub | Nightlife Spot | Non-Profit | Noodle House | North Indian Restaurant | Nursery School | Opera House | Optical Shop | Organic Grocery | Other Great Outdoors | Other Nightlife | Other Repair Shop | Outdoor Sculpture | Outdoor Supply Store | Outdoors & Recreation | Paper / Office Supplies Store | Park | Parking | Pastry Shop | Pawn Shop | Peking Duck Restaurant | Performing Arts Venue | Perfume Shop | Persian Restaurant | Pet Service | Pet Store | Pharmacy | Photography Lab | Photography Studio | Physical Therapist | Piano Bar | Pier | Pilates Studio | Pizza Place | Plane | Playground | Plaza | Police Station | Pool | Pool Hall | Pop-Up Shop | Portuguese Restaurant | Post Office | Poutine Place | Power Plant | Prayer Room | Print Shop | Private School | Professional & Other Places | Pub | Public Art | Racetrack | Radio Station | Ramen Restaurant | Real Estate Office | Record Shop | Recording Studio | Recreation Center | Recruiting Agency | Recycling Facility | Rehab Center | Rental Car Location | Rental Service | Research Laboratory | Residential Building (Apartment / Condo) | Resort | Rest Area | Restaurant | River | Rock Climbing Spot | Rock Club | Roof Deck | Sake Bar | Salad Place | Salon / Barbershop | Sandwich Place | Scenic Lookout | School | Sculpture Garden | Seafood Restaurant | Shawarma Place | Shipping Store | Shoe Repair | Shoe Store | Shop & Service | Shopping Mall | Shopping Plaza | Skate Park | Skating Rink | Ski Area | Ski Chalet | Ski Lodge | Smoke Shop | Smoothie Shop | Snack Place | Soccer Field | Social Club | Soup Place | South Indian Restaurant | Spa | Speakeasy | Spiritual Center | Sporting Goods Shop | Sports Bar | Sports Club | Sri Lankan Restaurant | Stables | State / Provincial Park | Stationery Store | Steakhouse | Storage Facility | Street Art | Strip Club | Student Center | Summer Camp | Supermarket | Supplement Shop | Surf Spot | Sushi Restaurant | Swim School | Swiss Restaurant | Synagogue | Szechuan Restaurant | Taco Place | Tailor Shop | Tanning Salon | Tapas Restaurant | Tattoo Parlor | Taxi | Taxi Stand | Tea Room | Tech Startup | Temple | Tennis Court | Thai Restaurant | Theater | Theme Park | Theme Park Ride / Attraction | Theme Restaurant | Thrift / Vintage Store | Tibetan Restaurant | Tourist Information Center | Toy / Game Store | Trade School | Trail | Trailer Park | Train | Train Station | Tram Station | Transportation Service | Travel Agency | Travel Lounge | Tree | Tunnel | Turkish Restaurant | University | Vegetarian / Vegan Restaurant | Veterinarian | Video Game Store | Video Store | Vietnamese Restaurant | Vineyard | Volleyball Court | Voting Booth | Warehouse | Warehouse Store | Watch Shop | Water Park | Wine Bar | Wine Shop | Winery | Wings Joint | Women's Store | Yoga Studio | Zoo | Zoo Exhibit | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Malvern, Rouge | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | Malvern, Rouge | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2 | Malvern, Rouge | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 4 | Malvern, Rouge | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5 | Malvern, Rouge | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
# tor_grouped = tor_onehot.groupby('Neighborhood_').mean().reset_index()
tor_grouped = tor_onehot.groupby('Neighborhood').mean().reset_index()
tor_grouped.head()
| Neighborhood | ATM | Accessories Store | Acupuncturist | Adult Boutique | Advertising Agency | Afghan Restaurant | African Restaurant | Airport | Airport Food Court | Airport Gate | Airport Lounge | Airport Service | Airport Terminal | Alternative Healer | American Restaurant | Animal Shelter | Antique Shop | Aquarium | Arcade | Argentinian Restaurant | Art Gallery | Art Studio | Arts & Crafts Store | Arts & Entertainment | Asian Restaurant | Assisted Living | Athletics & Sports | Auditorium | Auto Dealership | Auto Garage | Auto Workshop | Automotive Shop | BBQ Joint | Baby Store | Badminton Court | Bagel Shop | Baggage Claim | Bakery | Ballroom | Bank | Bar | Baseball Field | Basketball Court | Beach | Bed & Breakfast | Beer Bar | Beer Garden | Beer Store | Belgian Restaurant | Big Box Store | Bike Rental / Bike Share | Bike Shop | Bike Trail | Bistro | Blood Donation Center | Board Shop | Boat or Ferry | Bookstore | Boutique | Bowling Alley | Boxing Gym | Breakfast Spot | Brewery | Bridal Shop | Bridge | Bubble Tea Shop | Buffet | Burger Joint | Burmese Restaurant | Burrito Place | Business Center | Business Service | Butcher | Cable Car | Cafeteria | Café | Cajun / Creole Restaurant | Cambodian Restaurant | Camera Store | Campaign Office | Campground | Candy Store | Cantonese Restaurant | Capitol Building | Car Wash | Caribbean Restaurant | Carpet Store | Casino | Cemetery | Cha Chaan Teng | Cheese Shop | Chinese Breakfast Place | Chinese Restaurant | Chiropractor | Chocolate Shop | Church | City Hall | Clothing Store | Club House | Cocktail Bar | Coffee Shop | College & University | College Academic Building | College Administrative Building | College Arts Building | College Auditorium | College Bookstore | College Cafeteria | College Classroom | College Communications Building | College Engineering Building | College Football Field | College Gym | College History Building | College Hockey Rink | College Lab | College Library | College Math Building | College Rec Center | College Residence Hall | College Science Building | College Soccer Field | College Stadium | College Technology Building | College Theater | College Track | Comedy Club | Comfort Food Restaurant | Comic Shop | Community Center | Community College | Concert Hall | Conference Room | Construction & Landscaping | Convenience Store | Convention Center | Cooking School | Corporate Cafeteria | Cosmetics Shop | Costume Shop | Country Dance Club | Courthouse | Coworking Space | Credit Union | Cuban Restaurant | Cultural Center | Cupcake Shop | Currency Exchange | Dance Studio | Daycare | Deli / Bodega | Dentist's Office | Department Store | Design Studio | Dessert Shop | Dim Sum Restaurant | Diner | Discount Store | Distribution Center | Dive Bar | Doctor's Office | Dog Run | Donut Shop | Driving School | Drugstore | Dry Cleaner | Dumpling Restaurant | EV Charging Station | Eastern European Restaurant | Electronics Store | Elementary School | Embassy / Consulate | Emergency Room | English Restaurant | Entertainment Service | Escape Room | Ethiopian Restaurant | Event Space | Eye Doctor | Fabric Shop | Factory | Falafel Restaurant | Farm | Farmers Market | Fast Food Restaurant | Field | Filipino Restaurant | Film Studio | Financial or Legal Service | Fire Station | Fireworks Store | Fish & Chips Shop | Fish Market | Flea Market | Flight School | Flower Shop | Food | Food & Drink Shop | Food Court | Food Service | Food Stand | Food Truck | Frame Store | Fraternity House | French Restaurant | Fried Chicken Joint | Frozen Yogurt Shop | Fruit & Vegetable Store | Funeral Home | Furniture / Home Store | Gaming Cafe | Garden | Garden Center | Gas Station | Gastropub | Gay Bar | General College & University | General Entertainment | General Travel | German Restaurant | Gift Shop | Gluten-free Restaurant | Golf Course | Golf Driving Range | Gourmet Shop | Government Building | Greek Restaurant | Grocery Store | Gym | Gym / Fitness Center | Gym Pool | Hakka Restaurant | Halal Restaurant | Harbor / Marina | Hardware Store | Health & Beauty Service | Health Food Store | Herbs & Spices Store | High School | Hindu Temple | Historic Site | History Museum | Hobby Shop | Hockey Arena | Home Service | Hookah Bar | Hospital | Hospital Ward | Hostel | Hot Dog Joint | Hotel | Hotel Bar | Housing Development | Hungarian Restaurant | IT Services | Ice Cream Shop | Indian Restaurant | Indie Movie Theater | Indie Theater | Industrial Estate | Insurance Office | Intersection | Irish Pub | Italian Restaurant | Japanese Restaurant | Jewelry Store | Jewish Restaurant | Juice Bar | Karaoke Bar | Kebab Restaurant | Kids Store | Kingdom Hall | Kitchen Supply Store | Korean BBQ Restaurant | Korean Restaurant | Lake | Language School | Latin American Restaurant | Laundromat | Laundry Service | Lawyer | Library | Light Rail Station | Lighthouse | Lighting Store | Lingerie Store | Liquor Store | Locksmith | Lottery Retailer | Lounge | Luggage Store | Mac & Cheese Joint | Marijuana Dispensary | Market | Martial Arts School | Massage Studio | Maternity Clinic | Mattress Store | Medical Center | Medical Lab | Medical School | Medical Supply Store | Mediterranean Restaurant | Meeting Room | Men's Store | Mental Health Office | Metro Station | Mexican Restaurant | Middle Eastern Restaurant | Middle School | Mini Golf | Miscellaneous Shop | Mobile Phone Shop | Mobility Store | Modern European Restaurant | Monument / Landmark | Moroccan Restaurant | Mosque | Motel | Motorcycle Shop | Mountain | Movie Theater | Moving Target | Museum | Music School | Music Store | Music Venue | Nail Salon | National Park | New American Restaurant | Newsagent | Newsstand | Nightclub | Nightlife Spot | Non-Profit | Noodle House | North Indian Restaurant | Nursery School | Opera House | Optical Shop | Organic Grocery | Other Great Outdoors | Other Nightlife | Other Repair Shop | Outdoor Sculpture | Outdoor Supply Store | Outdoors & Recreation | Paper / Office Supplies Store | Park | Parking | Pastry Shop | Pawn Shop | Peking Duck Restaurant | Performing Arts Venue | Perfume Shop | Persian Restaurant | Pet Service | Pet Store | Pharmacy | Photography Lab | Photography Studio | Physical Therapist | Piano Bar | Pier | Pilates Studio | Pizza Place | Plane | Playground | Plaza | Police Station | Pool | Pool Hall | Pop-Up Shop | Portuguese Restaurant | Post Office | Poutine Place | Power Plant | Prayer Room | Print Shop | Private School | Professional & Other Places | Pub | Public Art | Racetrack | Radio Station | Ramen Restaurant | Real Estate Office | Record Shop | Recording Studio | Recreation Center | Recruiting Agency | Recycling Facility | Rehab Center | Rental Car Location | Rental Service | Research Laboratory | Residential Building (Apartment / Condo) | Resort | Rest Area | Restaurant | River | Rock Climbing Spot | Rock Club | Roof Deck | Sake Bar | Salad Place | Salon / Barbershop | Sandwich Place | Scenic Lookout | School | Sculpture Garden | Seafood Restaurant | Shawarma Place | Shipping Store | Shoe Repair | Shoe Store | Shop & Service | Shopping Mall | Shopping Plaza | Skate Park | Skating Rink | Ski Area | Ski Chalet | Ski Lodge | Smoke Shop | Smoothie Shop | Snack Place | Soccer Field | Social Club | Soup Place | South Indian Restaurant | Spa | Speakeasy | Spiritual Center | Sporting Goods Shop | Sports Bar | Sports Club | Sri Lankan Restaurant | Stables | State / Provincial Park | Stationery Store | Steakhouse | Storage Facility | Street Art | Strip Club | Student Center | Summer Camp | Supermarket | Supplement Shop | Surf Spot | Sushi Restaurant | Swim School | Swiss Restaurant | Synagogue | Szechuan Restaurant | Taco Place | Tailor Shop | Tanning Salon | Tapas Restaurant | Tattoo Parlor | Taxi | Taxi Stand | Tea Room | Tech Startup | Temple | Tennis Court | Thai Restaurant | Theater | Theme Park | Theme Park Ride / Attraction | Theme Restaurant | Thrift / Vintage Store | Tibetan Restaurant | Tourist Information Center | Toy / Game Store | Trade School | Trail | Trailer Park | Train | Train Station | Tram Station | Transportation Service | Travel Agency | Travel Lounge | Tree | Tunnel | Turkish Restaurant | University | Vegetarian / Vegan Restaurant | Veterinarian | Video Game Store | Video Store | Vietnamese Restaurant | Vineyard | Volleyball Court | Voting Booth | Warehouse | Warehouse Store | Watch Shop | Water Park | Wine Bar | Wine Shop | Winery | Wings Joint | Women's Store | Yoga Studio | Zoo | Zoo Exhibit | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Agincourt | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.025000 | 0.025 | 0.0125 | 0.175000 | 0.000000 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.025000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025000 | 0.0125 | 0.0 | 0.037500 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.037500 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.012500 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.025000 | 0.0 | 0.0 | 0.025 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.025000 | 0.0 | 0.0 | 0.000000 | 0.025000 | 0.0 | 0.0 | 0.0 | 0.025000 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.012500 | 0.012500 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025000 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.0 | 0.0125 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0125 | 0.012500 | 0.0 | 0.000000 | 0.0125 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012500 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0125 | 0.0125 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0375 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.000000 | 0.025 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.012500 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0375 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 |
| 1 | Alderwood, Long Branch | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.012346 | 0.012346 | 0.0 | 0.012346 | 0.000000 | 0.012346 | 0.000000 | 0.012346 | 0.000 | 0.0000 | 0.012346 | 0.024691 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.037037 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.012346 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.024691 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0000 | 0.0 | 0.000000 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.037037 | 0.0 | 0.037037 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.012346 | 0.037037 | 0.012346 | 0.037037 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.000000 | 0.037037 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.012346 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.012346 | 0.012346 | 0.012346 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0000 | 0.037037 | 0.0 | 0.000000 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012346 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.012346 | 0.0 | 0.012346 | 0.0000 | 0.0000 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.024691 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.012346 | 0.024691 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.000 | 0.012346 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.037037 | 0.012346 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.012346 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.037037 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 |
| 2 | Bathurst Manor, Wilson Heights, Downsview North | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.012195 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.012195 | 0.000000 | 0.000 | 0.0000 | 0.012195 | 0.000000 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.048780 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.012195 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0000 | 0.0 | 0.012195 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.024390 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.024390 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.012195 | 0.012195 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.085366 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.012195 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.012195 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.012195 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.012195 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.036585 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0000 | 0.000000 | 0.036585 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0000 | 0.060976 | 0.0 | 0.012195 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.012195 | 0.012195 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.012195 | 0.0 | 0.000000 | 0.0000 | 0.0000 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.012195 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.000 | 0.000000 | 0.0 | 0.060976 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.036585 | 0.012195 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.012195 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.036585 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.04878 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.012195 | 0.0 | 0.0 |
| 3 | Bayview Village | 0.0 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.012658 | 0.012658 | 0.000000 | 0.000000 | 0.000000 | 0.000 | 0.0000 | 0.012658 | 0.000000 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.037975 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.025316 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012658 | 0.0000 | 0.0 | 0.063291 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012658 | 0.000000 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.012658 | 0.012658 | 0.000000 | 0.012658 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.063291 | 0.037975 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.012658 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.025316 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.037975 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025316 | 0.0 | 0.000000 | 0.025316 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.0000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012658 | 0.0 | 0.0000 | 0.025316 | 0.0 | 0.000000 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012658 | 0.012658 | 0.0 | 0.000000 | 0.0000 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025316 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025316 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012658 | 0.000000 | 0.025316 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.025316 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.012658 | 0.000 | 0.000000 | 0.0 | 0.025316 | 0.0 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.063291 | 0.000000 | 0.0 | 0.025316 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.012658 | 0.012658 | 0.012658 | 0.012658 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012658 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 |
| 4 | Bedford Park, Lawrence Manor East | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000 | 0.0000 | 0.000000 | 0.000000 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.011494 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011494 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.022989 | 0.0 | 0.0 | 0.011494 | 0.0 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0000 | 0.0 | 0.011494 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.022989 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.022989 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.022989 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.022989 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.011494 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.022989 | 0.0 | 0.0 | 0.011494 | 0.022989 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.011494 | 0.0 | 0.011494 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011494 | 0.011494 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.022989 | 0.0 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.011494 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.057471 | 0.011494 | 0.011494 | 0.011494 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.022989 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0000 | 0.034483 | 0.0 | 0.000000 | 0.0000 | 0.0 | 0.0 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.011494 | 0.022989 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.022989 | 0.0 | 0.000000 | 0.0000 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011494 | 0.011494 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011494 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.011494 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.022989 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.103448 | 0.022989 | 0.0 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011494 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.022989 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.034483 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.011494 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011494 | 0.0 | 0.000000 | 0.0 | 0.0 |
def return_most_common_venues(row, num_top_cat):
row_categories = row.iloc[1:]
row_categories_sorted = row_categories.sort_values(ascending=False)
return row_categories_sorted.index.values[0:num_top_cat]
num_top_cat = 7
indicators = ['st', 'nd', 'rd']
# create columns according to number of top venues
# columns = ['Neighborhood_']
columns = ['Neighborhood']
for ind in np.arange(num_top_cat):
try:
columns.append('{}{} Most Common Category'.format(ind+1, indicators[ind]))
except:
columns.append('{}th Most Common Category'.format(ind+1))
# create a new dataframe
tor_neighborhoods_categories_sorted = pd.DataFrame(columns=columns)
# tor_neighborhoods_categories_sorted['Neighborhood_'] = tor_grouped['Neighborhood_']
tor_neighborhoods_categories_sorted['Neighborhood'] = tor_grouped['Neighborhood']
for ind in np.arange(tor_grouped.shape[0]):
tor_neighborhoods_categories_sorted.iloc[ind, 1:] = return_most_common_venues(
tor_grouped.iloc[ind, :], num_top_cat)
tor_neighborhoods_categories_sorted.head()
| Neighborhood | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | |
|---|---|---|---|---|---|---|---|---|
| 0 | Agincourt | Automotive Shop | Coffee Shop | Church | Storage Facility | Post Office | Furniture / Home Store | Chinese Restaurant |
| 1 | Alderwood, Long Branch | Conference Room | Daycare | Spa | Salon / Barbershop | Medical Center | Gas Station | Dentist's Office |
| 2 | Bathurst Manor, Wilson Heights, Downsview North | Doctor's Office | Residential Building (Apartment / Condo) | Medical Center | Synagogue | Bank | Laundry Service | Ice Cream Shop |
| 3 | Bayview Village | Salon / Barbershop | Doctor's Office | Church | Dog Run | Bank | Grocery Store | Café |
| 4 | Bedford Park, Lawrence Manor East | Salon / Barbershop | Italian Restaurant | Sushi Restaurant | Medical Center | Coffee Shop | Nail Salon | Boutique |
Now we apply K-means clustering on the dataframe stored in toronto_grouped variable which includes the relative frequency of each venue-category for each neighborhood.
# set number of clusters
kclusters = 5
# tor_grouped_clustering = tor_grouped.drop('Neighborhood_', 1)
tor_grouped_clustering = tor_grouped.drop('Neighborhood', 1)
# run k-means clustering
kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(tor_grouped_clustering)
# check cluster labels generated for each row in the dataframe
kmeans.labels_[0:10]
array([1, 2, 0, 0, 2, 2, 0, 4, 2, 3], dtype=int32)
# add clustering labels
tor_neighborhoods_categories_sorted.insert(0, 'Cluster Labels', kmeans.labels_)
# tor_merged = tor_neighborhoods.rename(columns={'Neighborhood': 'Neighborhood_'}).copy()
# tor_merged = tor_merged[~tor_merged['Neighborhood_'].isin(tor_excluded_neighborhoods)]
tor_merged = tor_neighborhoods.rename(columns={'Neighborhood': 'Neighborhood'}).copy()
tor_merged = tor_merged[~tor_merged['Neighborhood'].isin(tor_excluded_neighborhoods)]
# # merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood
# tor_merged = tor_merged.join(tor_neighborhoods_categories_sorted.set_index('Neighborhood_'), on='Neighborhood_')
tor_merged = tor_merged.join(tor_neighborhoods_categories_sorted.set_index('Neighborhood'), on='Neighborhood')
tor_merged.head() # check the last columns!
| PostalCode | Borough | Neighborhood | Latitude | Longitude | Cluster Labels | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | M1B | Scarborough | Malvern, Rouge | 43.806686 | -79.194353 | 1 | Automotive Shop | Factory | Salon / Barbershop | Dentist's Office | Coffee Shop | Sandwich Place | Fried Chicken Joint |
| 1 | M1C | Scarborough | Rouge Hill, Port Union, Highland Creek | 43.784535 | -79.160497 | 1 | Automotive Shop | Medical Center | Salon / Barbershop | General Entertainment | Bar | Arts & Crafts Store | Chinese Restaurant |
| 2 | M1E | Scarborough | Guildwood, Morningside, West Hill | 43.763573 | -79.188711 | 0 | Residential Building (Apartment / Condo) | Electronics Store | Church | Restaurant | Automotive Shop | Salon / Barbershop | Tech Startup |
| 3 | M1G | Scarborough | Woburn | 43.770992 | -79.216917 | 0 | Cosmetics Shop | Indian Restaurant | Residential Building (Apartment / Condo) | Pizza Place | Salon / Barbershop | Pharmacy | Convenience Store |
| 4 | M1H | Scarborough | Cedarbrae | 43.773136 | -79.239476 | 2 | Doctor's Office | Bakery | Medical Center | Laundry Service | Caribbean Restaurant | Automotive Shop | Skating Rink |
We will create a map that shows a marker for each neighborhood; the color of the marker represents the cluster of the neighborhood.
# create map
map_clusters = folium.Map(location=[latitude, longitude], zoom_start=9,
min_zoom=8, max_zoom=10)
# set color scheme for the clusters
rainbow = pc[:5]
# add markers to the map
# for lat, lon, poi, cluster in zip(tor_merged['Latitude'], tor_merged['Longitude'],
# tor_merged['Neighborhood_'], tor_merged['Cluster Labels']):
for lat, lon, poi, cluster in zip(tor_merged['Latitude'], tor_merged['Longitude'],
tor_merged['Neighborhood'], tor_merged['Cluster Labels']):
label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)
folium.CircleMarker(
[lat, lon],
radius=3,
weight=1,
popup=label,
color='#333333',
fill=True,
fill_color=rainbow[cluster-1],
fill_opacity=0.9).add_to(map_clusters)
map_clusters
tor_merged.loc[tor_merged['Cluster Labels'] == 0,
tor_merged.columns[[1] + list(range(5, tor_merged.shape[1]))]]
| Borough | Cluster Labels | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | |
|---|---|---|---|---|---|---|---|---|---|
| 2 | Scarborough | 0 | Residential Building (Apartment / Condo) | Electronics Store | Church | Restaurant | Automotive Shop | Salon / Barbershop | Tech Startup |
| 3 | Scarborough | 0 | Cosmetics Shop | Indian Restaurant | Residential Building (Apartment / Condo) | Pizza Place | Salon / Barbershop | Pharmacy | Convenience Store |
| 5 | Scarborough | 0 | Automotive Shop | Residential Building (Apartment / Condo) | Pizza Place | Convenience Store | Gas Station | Church | Salon / Barbershop |
| 6 | Scarborough | 0 | Parking | Doctor's Office | Residential Building (Apartment / Condo) | Coffee Shop | Discount Store | Church | Salon / Barbershop |
| 7 | Scarborough | 0 | Parking | Park | Residential Building (Apartment / Condo) | Bakery | Diner | Automotive Shop | Gym |
| 8 | Scarborough | 0 | Pizza Place | Salon / Barbershop | Convenience Store | Laundry Service | Church | Dentist's Office | Restaurant |
| 9 | Scarborough | 0 | General Entertainment | Church | Indian Restaurant | Gas Station | Pizza Place | Student Center | Gym |
| 13 | Scarborough | 0 | Doctor's Office | Dentist's Office | Automotive Shop | Bank | Gas Station | Fast Food Restaurant | Lawyer |
| 15 | Scarborough | 0 | Doctor's Office | Bank | Dentist's Office | Chinese Restaurant | Fast Food Restaurant | Mobile Phone Shop | Electronics Store |
| 19 | North York | 0 | Salon / Barbershop | Doctor's Office | Church | Dog Run | Bank | Grocery Store | Café |
| 21 | North York | 0 | Church | Bank | Medical Center | Salon / Barbershop | Park | Korean Restaurant | Medical Lab |
| 22 | North York | 0 | Residential Building (Apartment / Condo) | Bank | Salon / Barbershop | Bubble Tea Shop | Restaurant | Coffee Shop | Park |
| 28 | North York | 0 | Doctor's Office | Residential Building (Apartment / Condo) | Medical Center | Synagogue | Bank | Laundry Service | Ice Cream Shop |
| 30 | North York | 0 | Residential Building (Apartment / Condo) | Vietnamese Restaurant | Bank | Park | Salon / Barbershop | Coffee Shop | Medical Center |
| 31 | North York | 0 | Residential Building (Apartment / Condo) | Vietnamese Restaurant | Bank | Park | Salon / Barbershop | Coffee Shop | Medical Center |
| 32 | North York | 0 | Residential Building (Apartment / Condo) | Vietnamese Restaurant | Bank | Park | Salon / Barbershop | Coffee Shop | Medical Center |
| 33 | North York | 0 | Residential Building (Apartment / Condo) | Vietnamese Restaurant | Bank | Park | Salon / Barbershop | Coffee Shop | Medical Center |
| 35 | East York | 0 | Bank | Café | Convenience Store | Intersection | Coffee Shop | Taxi | Laundry Service |
| 36 | East York | 0 | Church | Park | Intersection | Automotive Shop | Salon / Barbershop | Fire Station | Laundry Service |
| 39 | East York | 0 | Church | Fast Food Restaurant | Bank | Indian Restaurant | Residential Building (Apartment / Condo) | Grocery Store | Fried Chicken Joint |
| 40 | East York | 0 | Convenience Store | Park | Intersection | Bookstore | Church | High School | Coffee Shop |
| 42 | East Toronto | 0 | Park | Convenience Store | Salon / Barbershop | Pet Store | Light Rail Station | Board Shop | Laundry Service |
| 74 | York | 0 | Salon / Barbershop | Bakery | Convenience Store | Church | Residential Building (Apartment / Condo) | Park | Laundry Service |
| 76 | West Toronto | 0 | Automotive Shop | Park | Church | Furniture / Home Store | Portuguese Restaurant | Speakeasy | Grocery Store |
| 79 | North York | 0 | Residential Building (Apartment / Condo) | Salon / Barbershop | Garden | Elementary School | Coffee Shop | Gas Station | Pharmacy |
| 80 | York | 0 | Residential Building (Apartment / Condo) | Convenience Store | Bank | Hospital | Courthouse | Fried Chicken Joint | Fast Food Restaurant |
| 82 | West Toronto | 0 | Church | Government Building | Hookah Bar | College Classroom | General College & University | Gas Station | Library |
| 93 | Etobicoke | 0 | Residential Building (Apartment / Condo) | Park | Pharmacy | Factory | Candy Store | Playground | Bank |
| 94 | Etobicoke | 0 | Residential Building (Apartment / Condo) | School | Park | Daycare | Church | Gym | Clothing Store |
| 95 | Etobicoke | 0 | Salon / Barbershop | Church | Dentist's Office | Park | Bank | Electronics Store | Doctor's Office |
| 97 | North York | 0 | Factory | Furniture / Home Store | Hardware Store | Residential Building (Apartment / Condo) | Coffee Shop | Church | Department Store |
| 98 | York | 0 | Pizza Place | Salon / Barbershop | Church | Residential Building (Apartment / Condo) | Park | Doctor's Office | Bank |
| 99 | Etobicoke | 0 | Park | Mobile Phone Shop | Gas Station | Caribbean Restaurant | Bank | Dentist's Office | Spa |
| 100 | Etobicoke | 0 | Residential Building (Apartment / Condo) | Gym | Salon / Barbershop | Elementary School | Medical Center | Park | Pizza Place |
tor_merged.loc[tor_merged['Cluster Labels'] == 1,
tor_merged.columns[[1] + list(range(5, tor_merged.shape[1]))]]
| Borough | Cluster Labels | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | Scarborough | 1 | Automotive Shop | Factory | Salon / Barbershop | Dentist's Office | Coffee Shop | Sandwich Place | Fried Chicken Joint |
| 1 | Scarborough | 1 | Automotive Shop | Medical Center | Salon / Barbershop | General Entertainment | Bar | Arts & Crafts Store | Chinese Restaurant |
| 10 | Scarborough | 1 | Automotive Shop | Furniture / Home Store | Auto Garage | Miscellaneous Shop | Storage Facility | Hardware Store | Indian Restaurant |
| 12 | Scarborough | 1 | Automotive Shop | Coffee Shop | Church | Storage Facility | Post Office | Furniture / Home Store | Chinese Restaurant |
| 53 | Downtown Toronto | 1 | Automotive Shop | Furniture / Home Store | Italian Restaurant | Art Gallery | Coffee Shop | Rental Car Location | Light Rail Station |
| 81 | York | 1 | Automotive Shop | Furniture / Home Store | Bank | Gas Station | Event Space | Vietnamese Restaurant | Financial or Legal Service |
| 96 | North York | 1 | Automotive Shop | Gas Station | Bank | Furniture / Home Store | Rental Car Location | Church | Storage Facility |
| 102 | Etobicoke | 1 | Factory | Automotive Shop | Hotel | Auto Dealership | Professional & Other Places | General Entertainment | Rental Car Location |
tor_merged.loc[tor_merged['Cluster Labels'] == 2,
tor_merged.columns[[1] + list(range(5, tor_merged.shape[1]))]]
| Borough | Cluster Labels | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | |
|---|---|---|---|---|---|---|---|---|---|
| 4 | Scarborough | 2 | Doctor's Office | Bakery | Medical Center | Laundry Service | Caribbean Restaurant | Automotive Shop | Skating Rink |
| 11 | Scarborough | 2 | Middle Eastern Restaurant | Grocery Store | Medical Center | Intersection | Coffee Shop | Pizza Place | Hookah Bar |
| 14 | Scarborough | 2 | Chinese Restaurant | School | BBQ Joint | Doctor's Office | Medical Center | Pharmacy | Bookstore |
| 16 | Scarborough | 2 | Zoo Exhibit | Cosmetics Shop | Playground | Farm | Pizza Place | Golf Course | Ski Area |
| 17 | North York | 2 | School | Medical Center | Bank | Mobile Phone Shop | Assisted Living | Pool | Housing Development |
| 18 | North York | 2 | Clothing Store | Shoe Store | Women's Store | Doctor's Office | Optical Shop | Cosmetics Shop | Jewelry Store |
| 26 | North York | 2 | Medical Center | Automotive Shop | Church | Coworking Space | General College & University | Doctor's Office | General Entertainment |
| 27 | North York | 2 | Medical Center | Automotive Shop | Church | Coworking Space | General College & University | Doctor's Office | General Entertainment |
| 29 | North York | 2 | Automotive Shop | Furniture / Home Store | Medical Center | Gas Station | Doctor's Office | Pharmacy | Bank |
| 37 | East Toronto | 2 | School | Doctor's Office | Laundry Service | Jewelry Store | Playground | Salon / Barbershop | Bakery |
| 38 | East York | 2 | Bank | Sporting Goods Shop | Automotive Shop | Furniture / Home Store | Coffee Shop | Sandwich Place | Electronics Store |
| 41 | East Toronto | 2 | Greek Restaurant | Salon / Barbershop | Spa | Miscellaneous Shop | Women's Store | Health Food Store | Gym / Fitness Center |
| 43 | East Toronto | 2 | Automotive Shop | Nail Salon | Moving Target | Pharmacy | Coffee Shop | Furniture / Home Store | Spa |
| 44 | Central Toronto | 2 | College Classroom | College Auditorium | School | Park | High School | Winery | Parking |
| 46 | Central Toronto | 2 | Clothing Store | Shoe Store | Health & Beauty Service | Cosmetics Shop | Men's Store | Furniture / Home Store | Toy / Game Store |
| 47 | Central Toronto | 2 | Coffee Shop | Salon / Barbershop | Nail Salon | Italian Restaurant | Café | Flower Shop | Bookstore |
| 48 | Central Toronto | 2 | Park | Other Great Outdoors | Taxi | Bridge | Gym | Tennis Court | Martial Arts School |
| 51 | Downtown Toronto | 2 | Coffee Shop | Flower Shop | Street Art | Pizza Place | Café | Restaurant | Pharmacy |
| 54 | Downtown Toronto | 2 | College Lab | University | College Communications Building | General College & University | Taxi | College Administrative Building | College Academic Building |
| 55 | Downtown Toronto | 2 | Residential Building (Apartment / Condo) | Event Space | Church | Coffee Shop | Spa | Japanese Restaurant | Furniture / Home Store |
| 56 | Downtown Toronto | 2 | Laundry Service | Residential Building (Apartment / Condo) | Parking | Pub | Food Truck | Hotel | Korean Restaurant |
| 57 | Downtown Toronto | 2 | Hospital | Coffee Shop | Hospital Ward | Medical Center | Emergency Room | Pharmacy | Café |
| 58 | Downtown Toronto | 2 | Coffee Shop | Vegetarian / Vegan Restaurant | Café | Food Court | Ballroom | Hotel Bar | Hotel |
| 60 | Downtown Toronto | 2 | Coffee Shop | Café | Restaurant | Park | Tech Startup | Cosmetics Shop | Cocktail Bar |
| 61 | Downtown Toronto | 2 | Financial or Legal Service | Coffee Shop | Salon / Barbershop | Dentist's Office | Bank | Bagel Shop | Food Court |
| 62 | North York | 2 | Salon / Barbershop | Italian Restaurant | Sushi Restaurant | Medical Center | Coffee Shop | Nail Salon | Boutique |
| 63 | Central Toronto | 2 | Dentist's Office | Playground | Gym | Doctor's Office | Medical Center | Spa | Italian Restaurant |
| 64 | Central Toronto | 2 | Dentist's Office | Doctor's Office | Park | Gym / Fitness Center | Medical Center | General Entertainment | Jewelry Store |
| 66 | Downtown Toronto | 2 | College Residence Hall | Student Center | Food Truck | College Classroom | College Library | College Academic Building | College Lab |
| 67 | Downtown Toronto | 2 | Salon / Barbershop | Thrift / Vintage Store | Boutique | Art Gallery | Vietnamese Restaurant | Clothing Store | Bar |
| 70 | Downtown Toronto | 2 | Coffee Shop | Bakery | Salon / Barbershop | Dentist's Office | Health & Beauty Service | Cosmetics Shop | Clothing Store |
| 71 | North York | 2 | Clothing Store | Furniture / Home Store | Design Studio | Accessories Store | Women's Store | Miscellaneous Shop | Hot Dog Joint |
| 72 | North York | 2 | Convenience Store | Salon / Barbershop | Nail Salon | Grocery Store | Park | Metro Station | Café |
| 73 | York | 2 | School | Playground | Restaurant | Indian Restaurant | Convenience Store | Gas Station | Spa |
| 75 | Downtown Toronto | 2 | Café | Design Studio | Grocery Store | Laundry Service | Furniture / Home Store | Automotive Shop | Bakery |
| 77 | West Toronto | 2 | Art Gallery | Bar | Coffee Shop | Furniture / Home Store | Salon / Barbershop | Boutique | Bike Shop |
| 83 | West Toronto | 2 | Breakfast Spot | Spa | Coffee Shop | Church | Boutique | Art Gallery | Furniture / Home Store |
| 84 | West Toronto | 2 | Medical Center | Dentist's Office | Salon / Barbershop | Sushi Restaurant | Furniture / Home Store | Optical Shop | Massage Studio |
| 85 | Downtown Toronto | 2 | Government Building | Medical Center | Restaurant | Capitol Building | College Library | Medical Lab | Doctor's Office |
| 86 | Mississauga | 2 | Hotel | Convenience Store | Gym | Gas Station | Breakfast Spot | Chinese Restaurant | Restaurant |
| 87 | East Toronto | 2 | Light Rail Station | Convenience Store | Butcher | Antique Shop | Medical Center | Athletics & Sports | Theater |
| 88 | Etobicoke | 2 | Pizza Place | Coworking Space | Fast Food Restaurant | Sports Bar | Medical Center | Athletics & Sports | Salon / Barbershop |
| 89 | Etobicoke | 2 | Conference Room | Daycare | Spa | Salon / Barbershop | Medical Center | Gas Station | Dentist's Office |
| 90 | Etobicoke | 2 | Salon / Barbershop | Miscellaneous Shop | Bank | Nail Salon | Doctor's Office | Spa | Medical Center |
| 92 | Etobicoke | 2 | Coworking Space | Automotive Shop | Fast Food Restaurant | Gym / Fitness Center | Miscellaneous Shop | Thrift / Vintage Store | Furniture / Home Store |
| 101 | Etobicoke | 2 | Salon / Barbershop | Spiritual Center | Movie Theater | Farm | Art Gallery | Church | Clothing Store |
tor_merged.loc[tor_merged['Cluster Labels'] == 3,
tor_merged.columns[[1] + list(range(5, tor_merged.shape[1]))]]
| Borough | Cluster Labels | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | |
|---|---|---|---|---|---|---|---|---|---|
| 68 | Downtown Toronto | 3 | Plane | Airport Gate | Airport Service | Moving Target | Airport Terminal | Airport Lounge | Harbor / Marina |
tor_merged.loc[tor_merged['Cluster Labels'] == 4,
tor_merged.columns[[1] + list(range(5, tor_merged.shape[1]))]]
| Borough | Cluster Labels | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | |
|---|---|---|---|---|---|---|---|---|---|
| 20 | North York | 4 | Residential Building (Apartment / Condo) | Park | Church | High School | Pool | Synagogue | School |
| 23 | North York | 4 | Residential Building (Apartment / Condo) | Gym | Park | Medical Center | Church | Dentist's Office | Laundry Service |
| 24 | North York | 4 | Residential Building (Apartment / Condo) | Park | Medical Center | Bank | Synagogue | Doctor's Office | Cemetery |
| 25 | North York | 4 | Residential Building (Apartment / Condo) | Park | Elementary School | School | Sandwich Place | Convenience Store | Other Great Outdoors |
| 34 | North York | 4 | Residential Building (Apartment / Condo) | Automotive Shop | Auto Dealership | Dentist's Office | Government Building | Event Space | Bank |
| 45 | Central Toronto | 4 | Residential Building (Apartment / Condo) | Dog Run | Gym | Dentist's Office | Hotel | Medical Center | Scenic Lookout |
| 49 | Central Toronto | 4 | Residential Building (Apartment / Condo) | Doctor's Office | Dentist's Office | Medical Center | Light Rail Station | Taxi | Spiritual Center |
| 50 | Downtown Toronto | 4 | Residential Building (Apartment / Condo) | Park | Bank | Bridge | Other Great Outdoors | General Travel | Trail |
| 52 | Downtown Toronto | 4 | Residential Building (Apartment / Condo) | Doctor's Office | Gym / Fitness Center | Gym | Spa | Smoke Shop | Taxi |
| 59 | Downtown Toronto | 4 | Residential Building (Apartment / Condo) | Coffee Shop | Fried Chicken Joint | Parking | Light Rail Station | Taxi | Doctor's Office |
| 65 | Central Toronto | 4 | Residential Building (Apartment / Condo) | Bed & Breakfast | Medical Center | General Entertainment | Sandwich Place | Gym | Hotel |
| 69 | Downtown Toronto | 4 | Residential Building (Apartment / Condo) | Tech Startup | Bar | Hotel | Gym | Pub | Restaurant |
| 78 | West Toronto | 4 | Residential Building (Apartment / Condo) | Tech Startup | Conference Room | Coworking Space | Advertising Agency | Convenience Store | Coffee Shop |
| 91 | Etobicoke | 4 | Residential Building (Apartment / Condo) | Convenience Store | Park | Elementary School | School | Playground | Grocery Store |
fig, ax = plt.subplots(figsize=fig_size, facecolor=fig_fc)
nyc_top_vc = nyc_venues['Venue Category'].value_counts(normalize=False)
ax = nyc_top_vc.head(10).plot(kind='barh', color=pc[0]);
ax.invert_yaxis()
plot_conf(ax, xlbl='Number of venues', ylbl='Venue category', t='')
plt.tight_layout()
fig.savefig('most-common-ven-nyc.png', dpi=300)
fig, ax = plt.subplots(figsize=fig_size, facecolor=fig_fc)
tor_top_vc = tor_venues['Venue Category'].value_counts(normalize=False)
ax = tor_top_vc.head(10).plot(kind='barh', color=pc[3]);
ax.invert_yaxis()
plot_conf(ax, xlbl='Number of venues', ylbl='Venue category', t='')
plt.tight_layout()
fig.savefig('most-common-ven-tor.png', dpi=300)
fig, ax = plt.subplots(figsize=fig_size, facecolor=fig_fc)
nyc_g = nyc_onehot.groupby('Neighborhood').max().reset_index()
nyc_p = nyc_g.drop('Neighborhood', axis=1).sum().sort_values(ascending=False)
print("{} neighborhoods in NYC".format(nyc_g.shape[0]))
ax = nyc_p.head(10).plot(kind='barh', color=pc[8]);
ax.invert_yaxis()
plot_conf(ax, xlbl='Number of neighborhoods', ylbl='Venue category', t='')
plt.tight_layout()
fig.savefig('most-common2-ven-nyc.png', dpi=300)
306 neighborhoods in NYC
fig, ax = plt.subplots(figsize=fig_size, facecolor=fig_fc)
tor_g = tor_onehot.groupby('Neighborhood').max().reset_index()
tor_p = tor_g.drop('Neighborhood', axis=1).sum().sort_values(ascending=False)
print("{} neighborhoods in Toronto".format(tor_g.shape[0]))
ax = tor_p.head(10).plot(kind='barh', color=pc[14]);
ax.invert_yaxis()
plot_conf(ax, xlbl='Number of neighborhoods', ylbl='Venue category', t='')
plt.tight_layout()
fig.savefig('most-common2-ven-tor.png', dpi=300)
99 neighborhoods in Toronto
nyc_bot_vc = nyc_venues['Venue Category'].value_counts(normalize=False)
nyc_bot_vc = nyc_bot_vc.tail(10).to_frame('Count')
nyc_bot_vc.index.names = ['Venue Category']
nyc_bot_vc
| Count | |
|---|---|
| Venue Category | |
| Colombian Restaurant | 1 |
| Light Rail Station | 1 |
| Line / Queue | 1 |
| Hunan Restaurant | 1 |
| Costume Shop | 1 |
| Roller Rink | 1 |
| Cable Car | 1 |
| Caucasian Restaurant | 1 |
| Forest | 1 |
| Adult Boutique | 1 |
tor_bot_vc = tor_venues['Venue Category'].value_counts(normalize=False)
tor_bot_vc = tor_bot_vc.tail(10).to_frame('Count')
tor_bot_vc.index.names = ['Venue Category']
tor_bot_vc
| Count | |
|---|---|
| Venue Category | |
| Cable Car | 1 |
| Language School | 1 |
| Roof Deck | 1 |
| Baggage Claim | 1 |
| Carpet Store | 1 |
| Ski Chalet | 1 |
| Pastry Shop | 1 |
| College Math Building | 1 |
| Stables | 1 |
| Buffet | 1 |
clmns_nyc_only = set(nyc_grouped.columns).difference(set(tor_grouped.columns))
clmns_tor_only = set(tor_grouped.columns).difference(set(nyc_grouped.columns))
nyc_grouped_ = nyc_grouped.copy()
nyc_grouped_['Neighborhood'] = nyc_grouped_['Neighborhood'].apply(lambda x: x + '_NYC')
tor_grouped_ = tor_grouped.copy()
tor_grouped_['Neighborhood'] = tor_grouped_['Neighborhood'].apply(lambda x: x + '_Toronto')
for c in clmns_tor_only:
nyc_grouped_[c] = 0
for c in clmns_nyc_only:
tor_grouped_[c] = 0
all_clmns_sorted = ['Neighborhood'] + sorted(list(nyc_grouped_.drop('Neighborhood', axis=1).columns),
key=str.lower)
nyc_grouped_ = nyc_grouped_[all_clmns_sorted]
tor_grouped_ = tor_grouped_[all_clmns_sorted]
nyc_tor_grouped = pd.concat([nyc_grouped_, tor_grouped_]).reset_index(drop=True)
nyc_tor_grouped.loc[303:308,]
| Neighborhood | Accessories Store | Acupuncturist | Adult Boutique | Advertising Agency | Afghan Restaurant | African Restaurant | Airport | Airport Food Court | Airport Gate | Airport Lounge | Airport Service | Airport Terminal | Airport Tram | Alternative Healer | American Restaurant | Animal Shelter | Antique Shop | Aquarium | Arcade | Arepa Restaurant | Argentinian Restaurant | Art Gallery | Art Museum | Art Studio | Arts & Crafts Store | Arts & Entertainment | Asian Restaurant | Assisted Living | Astrologer | Athletics & Sports | ATM | Auditorium | Australian Restaurant | Auto Dealership | Auto Garage | Auto Workshop | Automotive Shop | Baby Store | Badminton Court | Bagel Shop | Baggage Claim | Baggage Locker | Bakery | Ballroom | Bank | Bar | Baseball Field | Baseball Stadium | Basketball Court | Bath House | Bathing Area | BBQ Joint | Beach | Beach Bar | Bed & Breakfast | Beer Bar | Beer Garden | Beer Store | Belgian Restaurant | Big Box Store | Bike Rental / Bike Share | Bike Shop | Bike Trail | Bistro | Blood Donation Center | Board Shop | Boat or Ferry | Bookstore | Border Crossing | Botanical Garden | Boutique | Bowling Alley | Boxing Gym | Brazilian Restaurant | Breakfast Spot | Brewery | Bridal Shop | Bridge | Bubble Tea Shop | Buddhist Temple | Buffet | Burger Joint | Burmese Restaurant | Burrito Place | Business Center | Business Service | Butcher | Cable Car | Cafeteria | Café | Cajun / Creole Restaurant | Cambodian Restaurant | Camera Store | Campaign Office | Campground | Canal | Candy Store | Cantonese Restaurant | Capitol Building | Car Wash | Caribbean Restaurant | Carpet Store | Casino | Caucasian Restaurant | Cemetery | Cha Chaan Teng | Check Cashing Service | Cheese Shop | Child Care Service | Chinese Breakfast Place | Chinese Restaurant | Chiropractor | Chocolate Shop | Church | Circus | City Hall | Climbing Gym | Clothing Store | Club House | Cocktail Bar | Coffee Shop | College & University | College Academic Building | College Administrative Building | College Arts Building | College Auditorium | College Basketball Court | College Bookstore | College Cafeteria | College Classroom | College Communications Building | College Engineering Building | College Football Field | College Gym | College History Building | College Hockey Rink | College Lab | College Library | College Math Building | College Quad | College Rec Center | College Residence Hall | College Science Building | College Soccer Field | College Stadium | College Technology Building | College Theater | College Track | Colombian Restaurant | Comedy Club | Comfort Food Restaurant | Comic Shop | Community Center | Community College | Concert Hall | Conference Room | Construction & Landscaping | Convenience Store | Convention Center | Cooking School | Corporate Amenity | Corporate Cafeteria | Cosmetics Shop | Costume Shop | Country Dance Club | Courthouse | Coworking Space | Credit Union | Creperie | Cuban Restaurant | Cultural Center | Cupcake Shop | Currency Exchange | Cycle Studio | Dance Studio | Daycare | Deli / Bodega | Dentist's Office | Department Store | Design Studio | Dessert Shop | Dim Sum Restaurant | Diner | Discount Store | Distillery | Distribution Center | Dive Bar | Doctor's Office | Dog Run | Donut Shop | Dosa Place | Driving School | Drugstore | Dry Cleaner | Dumpling Restaurant | Eastern European Restaurant | Electronics Store | Elementary School | Embassy / Consulate | Emergency Room | Empanada Restaurant | English Restaurant | Entertainment Service | Escape Room | Ethiopian Restaurant | EV Charging Station | Event Service | Event Space | Exhibit | Eye Doctor | Fabric Shop | Factory | Fair | Falafel Restaurant | Farm | Farmers Market | Fast Food Restaurant | Field | Filipino Restaurant | Film Studio | Financial or Legal Service | Fire Station | Fireworks Store | Fish & Chips Shop | Fish Market | Fishing Spot | Fishing Store | Flea Market | Flight School | Floating Market | Flower Shop | Food | Food & Drink Shop | Food Court | Food Service | Food Stand | Food Truck | Forest | Frame Store | Fraternity House | French Restaurant | Fried Chicken Joint | Frozen Yogurt Shop | Fruit & Vegetable Store | Funeral Home | Furniture / Home Store | Gaming Cafe | Garden | Garden Center | Gas Station | Gastropub | Gay Bar | General College & University | General Entertainment | General Travel | German Restaurant | Gift Shop | Gluten-free Restaurant | Golf Course | Golf Driving Range | Gourmet Shop | Government Building | Greek Restaurant | Grocery Store | Gun Range | Gym | Gym / Fitness Center | Gym Pool | Gymnastics Gym | Hakka Restaurant | Halal Restaurant | Harbor / Marina | Hardware Store | Hawaiian Restaurant | Health & Beauty Service | Health Food Store | Herbs & Spices Store | High School | Himalayan Restaurant | Hindu Temple | Historic Site | History Museum | Hobby Shop | Hockey Arena | Home Service | Hookah Bar | Hospital | Hospital Ward | Hostel | Hot Dog Joint | Hot Spring | Hotel | Hotel Bar | Hotpot Restaurant | Housing Development | Hunan Restaurant | Hungarian Restaurant | Ice Cream Shop | Indian Restaurant | Indie Movie Theater | Indie Theater | Indoor Play Area | Industrial Estate | Insurance Office | Internet Cafe | Intersection | Irish Pub | Island | Israeli Restaurant | IT Services | Italian Restaurant | Japanese Curry Restaurant | Japanese Restaurant | Jazz Club | Jewelry Store | Jewish Restaurant | Juice Bar | Karaoke Bar | Kebab Restaurant | Kids Store | Kingdom Hall | Kitchen Supply Store | Korean BBQ Restaurant | Korean Restaurant | Kosher Restaurant | Lake | Language School | Latin American Restaurant | Laundromat | Laundry Service | Law School | Lawyer | Leather Goods Store | Lebanese Restaurant | Library | Light Rail Station | Lighthouse | Lighting Store | Line / Queue | Lingerie Store | Liquor Store | Locksmith | Lottery Retailer | Lounge | Luggage Store | Mac & Cheese Joint | Malay Restaurant | Marijuana Dispensary | Market | Martial Arts School | Massage Studio | Maternity Clinic | Mattress Store | Medical Center | Medical Lab | Medical School | Medical Supply Store | Mediterranean Restaurant | Meeting Room | Memorial Site | Men's Store | Mental Health Office | Metro Station | Mexican Restaurant | Middle Eastern Restaurant | Middle School | Military Base | Mini Golf | Miscellaneous Shop | Mobile Phone Shop | Mobility Store | Modern European Restaurant | Monastery | Monument / Landmark | Moroccan Restaurant | Mosque | Motel | Motorcycle Shop | Mountain | Movie Theater | Moving Target | Multiplex | Museum | Music School | Music Store | Music Venue | Nail Salon | National Park | New American Restaurant | Newsagent | Newsstand | Night Market | Nightclub | Nightlife Spot | Non-Profit | Noodle House | North Indian Restaurant | Nursery School | Opera House | Optical Shop | Organic Grocery | Other Event | Other Great Outdoors | Other Nightlife | Other Repair Shop | Outdoor Event Space | Outdoor Gym | Outdoor Sculpture | Outdoor Supply Store | Outdoors & Recreation | Outlet Mall | Outlet Store | Paella Restaurant | Paintball Field | Pakistani Restaurant | Paper / Office Supplies Store | Park | Parking | Pastry Shop | Pawn Shop | Pedestrian Plaza | Peking Duck Restaurant | Performing Arts Venue | Perfume Shop | Persian Restaurant | Peruvian Restaurant | Pet Café | Pet Service | Pet Store | Pharmacy | Photography Lab | Photography Studio | Physical Therapist | Piano Bar | Pie Shop | Pier | Piercing Parlor | Pilates Studio | Pizza Place | Plane | Platform | Playground | Plaza | Poke Place | Police Station | Polish Restaurant | Pool | Pool Hall | Pop-Up Shop | Portuguese Restaurant | Post Office | Poutine Place | Power Plant | Prayer Room | Preschool | Print Shop | Private School | Professional & Other Places | Pub | Public Art | Public Bathroom | Puerto Rican Restaurant | Racetrack | Radio Station | Ramen Restaurant | Real Estate Office | Record Shop | Recording Studio | Recreation Center | Recruiting Agency | Recycling Facility | Rehab Center | Religious School | Rental Car Location | Rental Service | Research Laboratory | Residence | Residential Building (Apartment / Condo) | Resort | Rest Area | Restaurant | River | Rock Climbing Spot | Rock Club | Roller Rink | Roof Deck | Rugby Pitch | Russian Restaurant | Sake Bar | Salad Place | Salon / Barbershop | Salsa Club | Sandwich Place | Sausage Shop | Scenic Lookout | School | Sculpture Garden | Seafood Restaurant | Shabu-Shabu Restaurant | Shanghai Restaurant | Shawarma Place | Shipping Store | Shoe Repair | Shoe Store | Shop & Service | Shopping Mall | Shopping Plaza | Shrine | Sikh Temple | Skate Park | Skating Rink | Ski Area | Ski Chalet | Ski Lodge | Smoke Shop | Smoothie Shop | Snack Place | Soccer Field | Social Club | Sorority House | Soup Place | South American Restaurant | South Indian Restaurant | Southern / Soul Food Restaurant | Souvenir Shop | Souvlaki Shop | Spa | Spanish Restaurant | Speakeasy | Spiritual Center | Sporting Goods Shop | Sports Bar | Sports Club | Squash Court | Sri Lankan Restaurant | Stables | Stadium | State / Provincial Park | Stationery Store | Steakhouse | Stoop Sale | Storage Facility | Street Art | Strip Club | Student Center | Summer Camp | Supermarket | Supplement Shop | Surf Spot | Sushi Restaurant | Swim School | Swiss Restaurant | Synagogue | Szechuan Restaurant | Taco Place | Tailor Shop | Taiwanese Restaurant | Tanning Salon | Tapas Restaurant | Tattoo Parlor | Taxi | Taxi Stand | Tea Room | Tech Startup | Temple | Tennis Court | Tennis Stadium | Tex-Mex Restaurant | Thai Restaurant | Theater | Theme Park | Theme Park Ride / Attraction | Theme Restaurant | Thrift / Vintage Store | Tibetan Restaurant | Tiki Bar | Toll Booth | Toll Plaza | Tour Provider | Tourist Information Center | Toy / Game Store | Track | Track Stadium | Trade School | Trail | Trailer Park | Train | Train Station | Tram Station | Transportation Service | Travel & Transport | Travel Agency | Travel Lounge | Tree | Tunnel | Turkish Restaurant | TV Station | University | Urgent Care Center | Vacation Rental | Vape Store | Varenyky restaurant | Vegetarian / Vegan Restaurant | Veterinarian | Video Game Store | Video Store | Vietnamese Restaurant | Vineyard | Volleyball Court | Voting Booth | Warehouse | Warehouse Store | Waste Facility | Watch Shop | Water Park | Waterfront | Wedding Hall | Weight Loss Center | Well | Whisky Bar | Wine Bar | Wine Shop | Winery | Wings Joint | Women's Store | Yemeni Restaurant | Yoga Studio | Zoo | Zoo Exhibit | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 303 | Woodrow_NYC | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012500 | 0.00000 | 0.000000 | 0.0 | 0.000000 | 0.000 | 0.0000 | 0.012500 | 0.0 | 0.0000 | 0.012500 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.012500 | 0.025000 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.000000 | 0.0 | 0.025000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.025 | 0.012500 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.025000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0125 | 0.0125 | 0.0 | 0.00000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0125 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.025 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.01250 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.0125 | 0.0125 | 0.000000 | 0.01250 | 0.0 | 0.025000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.037500 | 0.0 | 0.012500 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.000000 | 0.000000 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.00000 | 0.00000 | 0.000000 | 0.025000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.025000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0000 | 0.000000 | 0.0 | 0.000000 | 0.0000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.012500 | 0.000000 | 0.0125 | 0.0 | 0.0 | 0.025000 | 0.012500 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.00000 | 0.0 | 0.0000 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0000 | 0.00000 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.025000 | 0.0 | 0.0 | 0.025 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.050000 | 0.0 | 0.0 | 0.0 | 0.01250 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.012500 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.037500 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 |
| 304 | Woodside_NYC | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.01087 | 0.000000 | 0.0 | 0.000000 | 0.000 | 0.0000 | 0.010870 | 0.0 | 0.0000 | 0.000000 | 0.0 | 0.0 | 0.021739 | 0.0 | 0.010870 | 0.065217 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.010870 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.000000 | 0.0 | 0.010870 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000 | 0.010870 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.01087 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.010870 | 0.0 | 0.0 | 0.0 | 0.0 | 0.010870 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.032609 | 0.021739 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.010870 | 0.0 | 0.0 | 0.0 | 0.0 | 0.010870 | 0.0000 | 0.0000 | 0.0 | 0.01087 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0000 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.010870 | 0.0 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.021739 | 0.0 | 0.0 | 0.0 | 0.01087 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.01087 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.021739 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.01087 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0000 | 0.0000 | 0.010870 | 0.01087 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.010870 | 0.0 | 0.021739 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.010870 | 0.0 | 0.021739 | 0.000000 | 0.0 | 0.0 | 0.01087 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.01087 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.000000 | 0.01087 | 0.0 | 0.0 | 0.0 | 0.0 | 0.01087 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.01087 | 0.01087 | 0.010870 | 0.021739 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.021739 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0000 | 0.010870 | 0.0 | 0.000000 | 0.0000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.01087 | 0.054348 | 0.000000 | 0.0000 | 0.0 | 0.0 | 0.032609 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.01087 | 0.0 | 0.0000 | 0.01087 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0000 | 0.01087 | 0.0 | 0.010870 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.021739 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.010870 | 0.0 | 0.043478 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.01087 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000 | 0.000000 | 0.0 | 0.0 | 0.021739 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.065217 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.010870 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.010870 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.043478 | 0.0 | 0.0 | 0.0 | 0.0 | 0.021739 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.01087 | 0.01087 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 |
| 305 | Yorkville_NYC | 0.0 | 0.011364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.011364 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.00000 | 0.000000 | 0.0 | 0.000000 | 0.000 | 0.0000 | 0.000000 | 0.0 | 0.0000 | 0.011364 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.011364 | 0.022727 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.011364 | 0.011364 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.011364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.011364 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.000000 | 0.011364 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.011364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.011364 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.011364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0000 | 0.0000 | 0.0 | 0.00000 | 0.0 | 0.011364 | 0.011364 | 0.0 | 0.0000 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.011364 | 0.0 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.034091 | 0.00000 | 0.022727 | 0.0 | 0.0 | 0.011364 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0000 | 0.0000 | 0.022727 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.034091 | 0.011364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.000000 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.00000 | 0.00000 | 0.000000 | 0.056818 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.011364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0000 | 0.000000 | 0.0 | 0.000000 | 0.0000 | 0.011364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.000000 | 0.000000 | 0.0000 | 0.0 | 0.0 | 0.011364 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.00000 | 0.0 | 0.0000 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0000 | 0.00000 | 0.0 | 0.011364 | 0.011364 | 0.011364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.011364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011364 | 0.034091 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.022727 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.011364 | 0.0 | 0.011364 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000 | 0.000000 | 0.0 | 0.0 | 0.250000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.034091 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.045455 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.011364 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.011364 | 0.0 | 0.0 | 0.011364 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.022727 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.011364 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011364 | 0.0 | 0.0 | 0.0 | 0.0 | 0.011364 | 0.0 | 0.0 |
| 306 | Agincourt_Toronto | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.00000 | 0.000000 | 0.0 | 0.025000 | 0.025 | 0.0125 | 0.175000 | 0.0 | 0.0125 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.025 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0250 | 0.012500 | 0.0 | 0.037500 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.000 | 0.037500 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.012500 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0000 | 0.0000 | 0.0 | 0.00000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0000 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.025000 | 0.0 | 0.0 | 0.0 | 0.025 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.00000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.00000 | 0.0 | 0.025000 | 0.0 | 0.0 | 0.0 | 0.025000 | 0.0 | 0.0000 | 0.0000 | 0.025000 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.012500 | 0.0 | 0.012500 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.000000 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.012500 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.0 | 0.00000 | 0.01250 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0125 | 0.012500 | 0.0 | 0.000000 | 0.0125 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.000000 | 0.000000 | 0.0000 | 0.0 | 0.0 | 0.012500 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.00000 | 0.0 | 0.0125 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0125 | 0.01250 | 0.0 | 0.000000 | 0.000000 | 0.012500 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.03750 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.025 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.012500 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.037500 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012500 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.01250 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 |
| 307 | Alderwood, Long Branch_Toronto | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.012346 | 0.012346 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.012346 | 0.00000 | 0.000000 | 0.0 | 0.012346 | 0.000 | 0.0000 | 0.012346 | 0.0 | 0.0000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.037037 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.024691 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.012346 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.012346 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.024691 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.037037 | 0.000000 | 0.037037 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.037037 | 0.012346 | 0.037037 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.0000 | 0.0000 | 0.0 | 0.00000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0000 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.00000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.00000 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.037037 | 0.0 | 0.0000 | 0.0000 | 0.012346 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.012346 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.012346 | 0.000000 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.00000 | 0.00000 | 0.012346 | 0.012346 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0000 | 0.037037 | 0.0 | 0.000000 | 0.0000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.000000 | 0.000000 | 0.0000 | 0.0 | 0.0 | 0.012346 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.00000 | 0.0 | 0.0000 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.012346 | 0.0000 | 0.00000 | 0.0 | 0.000000 | 0.000000 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.012346 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.024691 | 0.0 | 0.000000 | 0.012346 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.012346 | 0.024691 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000 | 0.012346 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.037037 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.012346 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.037037 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 |
| 308 | Bathurst Manor, Wilson Heights, Downsview Nort... | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.00000 | 0.012195 | 0.0 | 0.000000 | 0.000 | 0.0000 | 0.012195 | 0.0 | 0.0000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.048780 | 0.012195 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.000000 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000 | 0.024390 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.024390 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.012195 | 0.012195 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.085366 | 0.0000 | 0.0000 | 0.0 | 0.00000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0000 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.00000 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.012195 | 0.00000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0000 | 0.0000 | 0.000000 | 0.00000 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.012195 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.012195 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.036585 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.00000 | 0.00000 | 0.000000 | 0.036585 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0000 | 0.060976 | 0.0 | 0.012195 | 0.0000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.000000 | 0.012195 | 0.0000 | 0.0 | 0.0 | 0.012195 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.00000 | 0.0 | 0.0000 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.000000 | 0.0000 | 0.00000 | 0.0 | 0.000000 | 0.000000 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.012195 | 0.0 | 0.0 | 0.000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.000000 | 0.012195 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000 | 0.000000 | 0.0 | 0.0 | 0.060976 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.036585 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.000000 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.036585 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.04878 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.00000 | 0.00000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.012195 | 0.0 | 0.0 |
nyc_tor_grouped.shape
(405, 630)
# obtaining the most popular categories for each neighborhood
nyc_tor_neighborhoods_categories_sorted = pd.DataFrame(columns=columns)
nyc_tor_neighborhoods_categories_sorted['Neighborhood'] = nyc_tor_grouped['Neighborhood']
for ind in np.arange(nyc_tor_grouped.shape[0]):
nyc_tor_neighborhoods_categories_sorted.iloc[ind, 1:] = return_most_common_venues(
nyc_tor_grouped.iloc[ind, :], num_top_cat)
nyc_tor_neighborhoods_categories_sorted.head()
| Neighborhood | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | |
|---|---|---|---|---|---|---|---|---|
| 0 | Allerton_NYC | Salon / Barbershop | Laundry Service | Food | Gas Station | Pizza Place | Non-Profit | Car Wash |
| 1 | Annadale_NYC | Pizza Place | Salon / Barbershop | Nail Salon | Tattoo Parlor | American Restaurant | Pet Store | Bagel Shop |
| 2 | Arden Heights_NYC | Professional & Other Places | Doctor's Office | Church | Dentist's Office | Bar | Gym | General Entertainment |
| 3 | Arlington_NYC | Church | Hardware Store | Salon / Barbershop | Professional & Other Places | Residential Building (Apartment / Condo) | Automotive Shop | American Restaurant |
| 4 | Arrochar_NYC | Deli / Bodega | Pizza Place | Food Truck | Dry Cleaner | Dance Studio | Doctor's Office | Bar |
fig, ax = plt.subplots(figsize=fig_size, facecolor=fig_fc)
nyc_tor_top_vc = pd.concat([nyc_venues, tor_venues])['Venue Category'].value_counts(normalize=True) * 100
ax = nyc_tor_top_vc.head(10).plot(kind='barh', color=pc[12]);
ax.invert_yaxis()
plot_conf(ax, xlbl='Number of venues', ylbl='Venue category', t='')
fig.savefig('most-common-ven-nyc-tor.png', dpi=300)
nyc_tor_bot_vc = pd.concat([nyc_venues, tor_venues])['Venue Category'].value_counts(normalize=False)
nyc_tor_bot_vc = nyc_tor_bot_vc.tail(10).to_frame('Count')
nyc_tor_bot_vc.index.names = ['Venue Category']
nyc_tor_bot_vc
| Count | |
|---|---|
| Venue Category | |
| Aquarium | 1 |
| Swim School | 1 |
| Roller Rink | 1 |
| Australian Restaurant | 1 |
| Newsagent | 1 |
| Airport Food Court | 1 |
| Toll Booth | 1 |
| Piercing Parlor | 1 |
| Stadium | 1 |
| Rugby Pitch | 1 |
# the number of clusters
kclusters = 5
# nyc_tor_grouped_clustering = nyc_tor_grouped.drop('Neighborhood_', 1)
nyc_tor_grouped_clustering = nyc_tor_grouped.drop('Neighborhood', 1)
# run k-means clustering
kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(nyc_tor_grouped_clustering)
# check cluster labels generated for each row in the dataframe
kmeans.labels_[0:10]
array([3, 3, 4, 4, 3, 4, 2, 3, 0, 3], dtype=int32)
# add clustering labels
nyc_tor_neighborhoods_categories_sorted.insert(0, 'Cluster Labels', kmeans.labels_)
# nyc_tor_merged = nyc_tor_neighborhoods.rename(columns={'Neighborhood': 'Neighborhood_'}).copy()
# tor_merged = tor_merged[~tor_merged['Neighborhood_'].isin(tor_excluded_neighborhoods)]
# # merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood
# nyc_tor_merged = nyc_tor_neighborhoods_categories_sorted.set_index('Neighborhood_')
# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood
nyc_tor_merged = nyc_tor_neighborhoods_categories_sorted.set_index('Neighborhood')
nyc_tor_merged.iloc[300:310] # check the last columns!
| Cluster Labels | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | |
|---|---|---|---|---|---|---|---|---|
| Neighborhood | ||||||||
| Wingate_NYC | 3 | Salon / Barbershop | School | Deli / Bodega | Caribbean Restaurant | Event Space | Food | Residential Building (Apartment / Condo) |
| Woodhaven_NYC | 3 | Deli / Bodega | Salon / Barbershop | Laundry Service | Miscellaneous Shop | Liquor Store | Doctor's Office | Chinese Restaurant |
| Woodlawn_NYC | 3 | Bar | Deli / Bodega | Salon / Barbershop | Pub | Church | Food & Drink Shop | Pizza Place |
| Woodrow_NYC | 4 | Pool | Grocery Store | School | Physical Therapist | Dentist's Office | Salon / Barbershop | Bar |
| Woodside_NYC | 3 | Bar | Salon / Barbershop | Mexican Restaurant | Thai Restaurant | Platform | Deli / Bodega | Miscellaneous Shop |
| Yorkville_NYC | 2 | Residential Building (Apartment / Condo) | Laundry Service | Spa | Pharmacy | Flower Shop | Gym | Salon / Barbershop |
| Agincourt_Toronto | 0 | Automotive Shop | Storage Facility | Post Office | Church | Coffee Shop | Gas Station | Business Service |
| Alderwood, Long Branch_Toronto | 4 | Convenience Store | Salon / Barbershop | Spa | Dentist's Office | Gas Station | Daycare | Bank |
| Bathurst Manor, Wilson Heights, Downsview North_Toronto | 1 | Doctor's Office | Residential Building (Apartment / Condo) | Medical Center | Synagogue | Bank | Spa | Ice Cream Shop |
| Bayview Village_Toronto | 4 | Salon / Barbershop | Doctor's Office | Church | Dog Run | Bank | Grocery Store | Japanese Restaurant |
c1 = nyc_tor_merged.loc[nyc_tor_merged['Cluster Labels'] == 0, :]
print(c1.shape)
c1.iloc[60:70]
(18, 8)
| Cluster Labels | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | |
|---|---|---|---|---|---|---|---|---|
| Neighborhood |
Most common categories among all neighborhoods in this cluster:
c2 = nyc_tor_merged.loc[nyc_tor_merged['Cluster Labels'] == 1, :]
print(c2.shape)
c2
(43, 8)
| Cluster Labels | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | |
|---|---|---|---|---|---|---|---|---|
| Neighborhood | ||||||||
| Bloomfield_NYC | 1 | Doctor's Office | Automotive Shop | Baseball Field | Grocery Store | Sporting Goods Shop | Other Great Outdoors | Cosmetics Shop |
| Brooklyn Heights_NYC | 1 | Doctor's Office | Residential Building (Apartment / Condo) | School | Salon / Barbershop | Women's Store | Church | Laundry Service |
| Bulls Head_NYC | 1 | Doctor's Office | Pizza Place | Bank | Church | Dentist's Office | Hospital | Salon / Barbershop |
| Castleton Corners_NYC | 1 | Doctor's Office | Church | Medical Center | Salon / Barbershop | Dentist's Office | Deli / Bodega | Nail Salon |
| Concord_NYC | 1 | Doctor's Office | Deli / Bodega | Chinese Restaurant | Medical Center | Martial Arts School | Bakery | Automotive Shop |
| Dongan Hills_NYC | 1 | Deli / Bodega | Doctor's Office | Salon / Barbershop | Church | Bar | Pet Store | Residential Building (Apartment / Condo) |
| Dyker Heights_NYC | 1 | Doctor's Office | Gas Station | Salon / Barbershop | Dog Run | Automotive Shop | Deli / Bodega | Event Space |
| Egbertville_NYC | 1 | Doctor's Office | Salon / Barbershop | Park | Automotive Shop | Dentist's Office | Trail | Medical Center |
| Emerson Hill_NYC | 1 | Doctor's Office | Medical Center | Residential Building (Apartment / Condo) | Church | College Library | Spa | Grocery Store |
| Forest Hills_NYC | 1 | Dentist's Office | Doctor's Office | Residential Building (Apartment / Condo) | Convention Center | School | Library | Elementary School |
| Fort Hamilton_NYC | 1 | Doctor's Office | Residential Building (Apartment / Condo) | Pizza Place | Deli / Bodega | Salon / Barbershop | Laundry Service | Miscellaneous Shop |
| Georgetown_NYC | 1 | Doctor's Office | Bank | Chinese Restaurant | Medical Center | Discount Store | Salon / Barbershop | Laundry Service |
| Glendale_NYC | 1 | Doctor's Office | Deli / Bodega | Chinese Restaurant | Salon / Barbershop | Church | School | Dentist's Office |
| Gramercy_NYC | 1 | Doctor's Office | Residential Building (Apartment / Condo) | Medical Center | Salon / Barbershop | Dentist's Office | Laundry Service | Ice Cream Shop |
| Greenridge_NYC | 1 | Doctor's Office | Professional & Other Places | Dentist's Office | Asian Restaurant | Laundry Service | Parking | Taxi |
| Heartland Village_NYC | 1 | Doctor's Office | Bagel Shop | Chinese Restaurant | Professional & Other Places | Pizza Place | Dentist's Office | Salon / Barbershop |
| Holliswood_NYC | 1 | Doctor's Office | Residential Building (Apartment / Condo) | Gas Station | Salon / Barbershop | Dentist's Office | Caribbean Restaurant | Event Space |
| Kew Gardens_NYC | 1 | Residential Building (Apartment / Condo) | Doctor's Office | Synagogue | Laundry Service | Taxi | Dentist's Office | Other Great Outdoors |
| Lindenwood_NYC | 1 | Doctor's Office | Dentist's Office | Residential Building (Apartment / Condo) | Bank | Medical Center | Deli / Bodega | Miscellaneous Shop |
| Madison_NYC | 1 | Doctor's Office | Synagogue | Residential Building (Apartment / Condo) | Dentist's Office | Eastern European Restaurant | Medical Center | Food |
| Manhattan Terrace_NYC | 1 | Doctor's Office | Residential Building (Apartment / Condo) | Dentist's Office | Housing Development | Parking | School | Medical Center |
| Morris Park_NYC | 1 | Doctor's Office | Residential Building (Apartment / Condo) | Dentist's Office | Nail Salon | Ice Cream Shop | Bank | Pizza Place |
| Murray Hill, Manhattan_NYC | 1 | Doctor's Office | Residential Building (Apartment / Condo) | Dentist's Office | Hotel | Parking | Embassy / Consulate | Event Space |
| New Springville_NYC | 1 | Doctor's Office | Deli / Bodega | Salon / Barbershop | Bagel Shop | Mobile Phone Shop | Chinese Restaurant | Pizza Place |
| Norwood_NYC | 1 | Doctor's Office | Park | Residential Building (Apartment / Condo) | Deli / Bodega | Medical Center | Salon / Barbershop | Food Truck |
| Oakwood_NYC | 1 | Doctor's Office | Dentist's Office | Church | Medical Center | Elementary School | Other Nightlife | Other Great Outdoors |
| Ocean Parkway_NYC | 1 | Residential Building (Apartment / Condo) | Doctor's Office | Assisted Living | Dentist's Office | Coworking Space | Synagogue | Pizza Place |
| Park Hill_NYC | 1 | Residential Building (Apartment / Condo) | Doctor's Office | Salon / Barbershop | Athletics & Sports | Professional & Other Places | Park | Other Great Outdoors |
| Pelham Gardens_NYC | 1 | Doctor's Office | Pizza Place | Pharmacy | Playground | Other Great Outdoors | Dentist's Office | Garden |
| Pelham Parkway_NYC | 1 | Doctor's Office | Dentist's Office | Residential Building (Apartment / Condo) | Deli / Bodega | Diner | Pizza Place | Salon / Barbershop |
| Pomonok_NYC | 1 | Doctor's Office | Residential Building (Apartment / Condo) | Playground | Dentist's Office | Elementary School | Salon / Barbershop | Medical Center |
| Randall Manor_NYC | 1 | Doctor's Office | High School | Residential Building (Apartment / Condo) | Park | College Classroom | Medical Center | Deli / Bodega |
| Rego Park_NYC | 1 | Doctor's Office | Residential Building (Apartment / Condo) | Medical Center | Dentist's Office | Professional & Other Places | Mediterranean Restaurant | General College & University |
| Rockaway Park_NYC | 1 | Beach | Doctor's Office | Eye Doctor | Bakery | Restaurant | Track | Medical Center |
| Schuylerville_NYC | 1 | Doctor's Office | Salon / Barbershop | Deli / Bodega | Professional & Other Places | Pizza Place | Pharmacy | Mental Health Office |
| South Beach_NYC | 1 | Hospital | Medical Center | Doctor's Office | Beach | Dentist's Office | Deli / Bodega | College Communications Building |
| Starrett City_NYC | 1 | Doctor's Office | Laundry Service | Residential Building (Apartment / Condo) | Parking | Pharmacy | Salon / Barbershop | Medical Center |
| Sunnyside, Staten Island_NYC | 1 | Doctor's Office | Theater | College Residence Hall | College Library | Dance Studio | College Administrative Building | College Arts Building |
| Todt Hill_NYC | 1 | Doctor's Office | Professional & Other Places | Nail Salon | School | Laundry Service | Bagel Shop | Dog Run |
| Tudor City_NYC | 1 | Doctor's Office | Residential Building (Apartment / Condo) | Medical Center | Gym | Laundry Service | Hospital | Assisted Living |
| Upper East Side_NYC | 1 | Doctor's Office | Art Gallery | Residential Building (Apartment / Condo) | Medical Center | Dentist's Office | Library | Spa |
| Bathurst Manor, Wilson Heights, Downsview North_Toronto | 1 | Doctor's Office | Residential Building (Apartment / Condo) | Medical Center | Synagogue | Bank | Spa | Ice Cream Shop |
| Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park_Toronto | 1 | Residential Building (Apartment / Condo) | Doctor's Office | Dentist's Office | Medical Center | Taxi | Light Rail Station | Athletics & Sports |
c3 = nyc_tor_merged.loc[nyc_tor_merged['Cluster Labels'] == 2, :]
print(c3.shape)
c3.tail()
(63, 8)
| Cluster Labels | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | |
|---|---|---|---|---|---|---|---|---|
| Neighborhood | ||||||||
| The Annex, North Midtown, Yorkville_Toronto | 2 | Residential Building (Apartment / Condo) | Bed & Breakfast | Japanese Restaurant | Metro Station | Playground | Miscellaneous Shop | Sandwich Place |
| Victoria Village_Toronto | 2 | Residential Building (Apartment / Condo) | Automotive Shop | Grocery Store | Government Building | Auto Dealership | Playground | Transportation Service |
| Willowdale, Willowdale West_Toronto | 2 | Residential Building (Apartment / Condo) | Park | Medical Center | Bank | Synagogue | Pizza Place | Financial or Legal Service |
| York Mills West_Toronto | 2 | Residential Building (Apartment / Condo) | Gym | Park | Medical Center | Church | School | Dentist's Office |
| York Mills, Silver Hills_Toronto | 2 | Residential Building (Apartment / Condo) | Park | High School | Church | Pool | School | Synagogue |
c4 = nyc_tor_merged.loc[nyc_tor_merged['Cluster Labels'] == 3, :]
print(c4.shape)
c4
(103, 8)
| Cluster Labels | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | |
|---|---|---|---|---|---|---|---|---|
| Neighborhood | ||||||||
| Allerton_NYC | 3 | Salon / Barbershop | Laundry Service | Food | Gas Station | Pizza Place | Non-Profit | Car Wash |
| Annadale_NYC | 3 | Pizza Place | Salon / Barbershop | Nail Salon | Tattoo Parlor | American Restaurant | Pet Store | Bagel Shop |
| Arrochar_NYC | 3 | Deli / Bodega | Pizza Place | Food Truck | Dry Cleaner | Dance Studio | Doctor's Office | Bar |
| Astoria Heights_NYC | 3 | Laundry Service | Deli / Bodega | General Travel | Playground | Chinese Restaurant | Gas Station | Italian Restaurant |
| Bath Beach_NYC | 3 | Deli / Bodega | Pizza Place | Residential Building (Apartment / Condo) | Salon / Barbershop | Gas Station | Doctor's Office | Restaurant |
| Bay Ridge_NYC | 3 | Residential Building (Apartment / Condo) | Salon / Barbershop | Cosmetics Shop | Spa | Italian Restaurant | Pizza Place | Deli / Bodega |
| Bedford Stuyvesant_NYC | 3 | Deli / Bodega | School | Grocery Store | Salon / Barbershop | Laundry Service | Bike Rental / Bike Share | Church |
| Beechhurst_NYC | 3 | Salon / Barbershop | Bank | Doctor's Office | Chinese Restaurant | Pizza Place | Pharmacy | Dentist's Office |
| Bellaire_NYC | 3 | Chinese Restaurant | Deli / Bodega | Salon / Barbershop | Pizza Place | Hospital | Residential Building (Apartment / Condo) | Gas Station |
| Bellerose_NYC | 3 | Dentist's Office | Automotive Shop | Pizza Place | Deli / Bodega | Salon / Barbershop | Flower Shop | Italian Restaurant |
| Belmont_NYC | 3 | Salon / Barbershop | Deli / Bodega | Italian Restaurant | School | Dessert Shop | Park | Bakery |
| Bensonhurst_NYC | 3 | Doctor's Office | Nail Salon | Design Studio | Italian Restaurant | Gas Station | Park | Salon / Barbershop |
| Boerum Hill_NYC | 3 | Salon / Barbershop | Doctor's Office | General Entertainment | Event Space | Playground | Thrift / Vintage Store | Residential Building (Apartment / Condo) |
| Cambria Heights_NYC | 3 | Doctor's Office | Caribbean Restaurant | Salon / Barbershop | Cosmetics Shop | Dentist's Office | Church | Lounge |
| Canarsie_NYC | 3 | Salon / Barbershop | Caribbean Restaurant | Chinese Restaurant | Doctor's Office | Deli / Bodega | Grocery Store | Cemetery |
| Central Harlem_NYC | 3 | Salon / Barbershop | Residential Building (Apartment / Condo) | Mountain | Gym / Fitness Center | Church | Deli / Bodega | Cocktail Bar |
| City Line_NYC | 3 | Salon / Barbershop | Nail Salon | Miscellaneous Shop | Chinese Restaurant | Cosmetics Shop | Convenience Store | Deli / Bodega |
| Claremont Village_NYC | 3 | Salon / Barbershop | Medical Center | Deli / Bodega | Pizza Place | Pharmacy | Chinese Restaurant | Cosmetics Shop |
| Clinton Hill_NYC | 3 | Residential Building (Apartment / Condo) | Liquor Store | Deli / Bodega | Miscellaneous Shop | Restaurant | Salon / Barbershop | Lounge |
| Concourse Village_NYC | 3 | Deli / Bodega | Residential Building (Apartment / Condo) | Salon / Barbershop | Chinese Restaurant | Park | Non-Profit | Other Nightlife |
| Corona_NYC | 3 | Salon / Barbershop | Mexican Restaurant | Deli / Bodega | Doctor's Office | Liquor Store | Bakery | Food |
| Crown Heights_NYC | 3 | Residential Building (Apartment / Condo) | Salon / Barbershop | Pizza Place | Deli / Bodega | Laundry Service | Grocery Store | Lounge |
| Cypress Hills_NYC | 3 | Salon / Barbershop | Nail Salon | Deli / Bodega | Laundry Service | Latin American Restaurant | Pizza Place | Chinese Restaurant |
| Douglaston_NYC | 3 | Salon / Barbershop | Italian Restaurant | Church | Deli / Bodega | Thai Restaurant | Pizza Place | Korean Restaurant |
| East Elmhurst_NYC | 3 | Salon / Barbershop | Gas Station | Church | Playground | Plane | Pizza Place | Nail Salon |
| East Flatbush_NYC | 3 | Deli / Bodega | Salon / Barbershop | Caribbean Restaurant | Dentist's Office | Church | Chinese Restaurant | School |
| East New York_NYC | 3 | Salon / Barbershop | Deli / Bodega | Chinese Restaurant | Laundry Service | Nail Salon | Spanish Restaurant | School |
| East Tremont_NYC | 3 | Salon / Barbershop | Cosmetics Shop | Food | Chinese Restaurant | Shoe Store | Church | Residential Building (Apartment / Condo) |
| Edenwald_NYC | 3 | Salon / Barbershop | Residential Building (Apartment / Condo) | Church | Deli / Bodega | Liquor Store | Gas Station | Laundry Service |
| Edgewater Park_NYC | 3 | Italian Restaurant | Deli / Bodega | Chinese Restaurant | Automotive Shop | Salon / Barbershop | Pharmacy | Medical Center |
| Elm Park_NYC | 3 | Deli / Bodega | Salon / Barbershop | Restaurant | Pizza Place | School | Automotive Shop | Laundry Service |
| Eltingville_NYC | 3 | Salon / Barbershop | Nail Salon | Butcher | Pizza Place | Medical Center | Bagel Shop | Automotive Shop |
| Erasmus_NYC | 3 | Salon / Barbershop | Bakery | Caribbean Restaurant | Bar | Food | General Entertainment | Other Great Outdoors |
| Far Rockaway_NYC | 3 | Salon / Barbershop | Deli / Bodega | Chinese Restaurant | Automotive Shop | Nail Salon | Cosmetics Shop | Pizza Place |
| Flatlands_NYC | 3 | Salon / Barbershop | Automotive Shop | Caribbean Restaurant | Pharmacy | Church | Laundry Service | Bar |
| Floral Park_NYC | 3 | Indian Restaurant | Lounge | Doctor's Office | Salon / Barbershop | Grocery Store | Dentist's Office | Ice Cream Shop |
| Gravesend_NYC | 3 | Automotive Shop | Deli / Bodega | Salon / Barbershop | Bakery | Pharmacy | Spa | Furniture / Home Store |
| Great Kills_NYC | 3 | Salon / Barbershop | Doctor's Office | Nail Salon | Pizza Place | Bar | Italian Restaurant | Bank |
| High Bridge_NYC | 3 | Salon / Barbershop | Residential Building (Apartment / Condo) | Deli / Bodega | Pharmacy | Laundry Service | Chinese Restaurant | Grocery Store |
| Highland Park_NYC | 3 | Salon / Barbershop | Church | Laundry Service | Liquor Store | Moving Target | Deli / Bodega | Metro Station |
| Hollis_NYC | 3 | Salon / Barbershop | Automotive Shop | Caribbean Restaurant | Church | Fried Chicken Joint | Bakery | Laundry Service |
| Homecrest_NYC | 3 | Salon / Barbershop | Chinese Restaurant | Asian Restaurant | Eastern European Restaurant | Bakery | Grocery Store | Fast Food Restaurant |
| Howard Beach_NYC | 3 | Salon / Barbershop | Italian Restaurant | Pharmacy | Jewelry Store | Bridge | Doctor's Office | Sandwich Place |
| Huguenot_NYC | 3 | Salon / Barbershop | Doctor's Office | Deli / Bodega | Bank | Ice Cream Shop | Other Great Outdoors | Flower Shop |
| Hunters Point_NYC | 3 | Deli / Bodega | Salon / Barbershop | Plaza | Nail Salon | Thai Restaurant | Food Truck | Mexican Restaurant |
| Inwood_NYC | 3 | Salon / Barbershop | Deli / Bodega | Residential Building (Apartment / Condo) | Nail Salon | Laundry Service | Government Building | Mexican Restaurant |
| Jamaica Center_NYC | 3 | Clothing Store | Department Store | Salon / Barbershop | Optical Shop | Kids Store | Government Building | Grocery Store |
| Jamaica Hills_NYC | 3 | Salon / Barbershop | Indian Restaurant | Grocery Store | Residential Building (Apartment / Condo) | Dentist's Office | Chinese Restaurant | Asian Restaurant |
| Kingsbridge_NYC | 3 | Laundry Service | Bank | Salon / Barbershop | Boutique | Medical Center | Discount Store | Pet Store |
| Laurelton_NYC | 3 | Salon / Barbershop | Caribbean Restaurant | Gas Station | Church | Deli / Bodega | Financial or Legal Service | Nail Salon |
| Little Italy_NYC | 3 | Italian Restaurant | Salon / Barbershop | Smoke Shop | Gift Shop | Gourmet Shop | Accessories Store | Lounge |
| Little Neck_NYC | 3 | Salon / Barbershop | Chinese Restaurant | School | Laundry Service | Food | Korean Restaurant | Bagel Shop |
| Longwood_NYC | 3 | Pizza Place | Automotive Shop | Train | Mexican Restaurant | Grocery Store | Salon / Barbershop | Food |
| Manhattan Valley_NYC | 3 | Deli / Bodega | Salon / Barbershop | Check Cashing Service | Trailer Park | Laundry Service | Chinese Restaurant | Residential Building (Apartment / Condo) |
| Marble Hill_NYC | 3 | Deli / Bodega | Salon / Barbershop | High School | Church | Laundry Service | Residential Building (Apartment / Condo) | Furniture / Home Store |
| Maspeth_NYC | 3 | Pizza Place | Nail Salon | Dentist's Office | Grocery Store | Bank | Hardware Store | Salon / Barbershop |
| Middle Village_NYC | 3 | Bakery | Cosmetics Shop | Chinese Restaurant | Salon / Barbershop | Ice Cream Shop | Dance Studio | Thai Restaurant |
| Mill Basin_NYC | 3 | Dentist's Office | Gas Station | Salon / Barbershop | Doctor's Office | Chinese Restaurant | Laundry Service | Baseball Field |
| Mount Hope_NYC | 3 | Salon / Barbershop | Residential Building (Apartment / Condo) | Church | Automotive Shop | Chinese Restaurant | Deli / Bodega | Financial or Legal Service |
| New Brighton_NYC | 3 | Deli / Bodega | Church | Park | Playground | Housing Development | Laundry Service | Residential Building (Apartment / Condo) |
| New Dorp_NYC | 3 | Salon / Barbershop | Italian Restaurant | Mexican Restaurant | Spa | Pet Store | Bakery | Chiropractor |
| New Lots_NYC | 3 | Church | Salon / Barbershop | Deli / Bodega | Chinese Restaurant | Grocery Store | Laundry Service | Food |
| North Corona_NYC | 3 | Deli / Bodega | Salon / Barbershop | Latin American Restaurant | Mexican Restaurant | Food Truck | Laundry Service | Hotel |
| Ocean Hill_NYC | 3 | Deli / Bodega | Residential Building (Apartment / Condo) | Salon / Barbershop | Church | Laundry Service | Metro Station | Elementary School |
| Olinville_NYC | 3 | Salon / Barbershop | Deli / Bodega | Caribbean Restaurant | Chinese Restaurant | Residential Building (Apartment / Condo) | Food | Health & Beauty Service |
| Ozone Park_NYC | 3 | Deli / Bodega | Pizza Place | Liquor Store | Pharmacy | Nail Salon | Spanish Restaurant | Tattoo Parlor |
| Paerdegat Basin_NYC | 3 | Doctor's Office | Salon / Barbershop | Harbor / Marina | Food | Caribbean Restaurant | Other Nightlife | School |
| Parkchester_NYC | 3 | Salon / Barbershop | Laundry Service | Residential Building (Apartment / Condo) | Indian Restaurant | Convenience Store | School | Food |
| Pelham Bay_NYC | 3 | Salon / Barbershop | Medical Center | Chinese Restaurant | Residential Building (Apartment / Condo) | Convenience Store | Bagel Shop | Doctor's Office |
| Pleasant Plains_NYC | 3 | Salon / Barbershop | Pizza Place | Bakery | Tattoo Parlor | Funeral Home | Dessert Shop | Tanning Salon |
| Prince's Bay_NYC | 3 | Salon / Barbershop | Doctor's Office | Church | Other Great Outdoors | Bank | Dentist's Office | Pizza Place |
| Queens Village_NYC | 3 | Food | Financial or Legal Service | Caribbean Restaurant | Nail Salon | Bank | Church | Salon / Barbershop |
| Remsen Village_NYC | 3 | Salon / Barbershop | Church | Automotive Shop | Caribbean Restaurant | Fast Food Restaurant | Laundry Service | Food |
| Richmond Hill_NYC | 3 | Pizza Place | Convenience Store | Bakery | Doctor's Office | Latin American Restaurant | Nail Salon | Residential Building (Apartment / Condo) |
| Richmond Valley_NYC | 3 | Salon / Barbershop | Bakery | Fast Food Restaurant | Pizza Place | Automotive Shop | Nail Salon | Convenience Store |
| Ridgewood_NYC | 3 | Deli / Bodega | Hardware Store | Greek Restaurant | Grocery Store | Cosmetics Shop | Residential Building (Apartment / Condo) | Italian Restaurant |
| Rosedale_NYC | 3 | Salon / Barbershop | Caribbean Restaurant | Gas Station | Cosmetics Shop | Fried Chicken Joint | Laundry Service | Pharmacy |
| Rugby_NYC | 3 | Caribbean Restaurant | Salon / Barbershop | Laundry Service | Chinese Restaurant | Food | Deli / Bodega | Elementary School |
| Shore Acres_NYC | 3 | Deli / Bodega | Salon / Barbershop | Italian Restaurant | Miscellaneous Shop | Concert Hall | Bar | Dentist's Office |
| St. Albans_NYC | 3 | Salon / Barbershop | Caribbean Restaurant | Deli / Bodega | Laundry Service | Church | Dance Studio | Lounge |
| Stapleton_NYC | 3 | Food | Salon / Barbershop | Church | Pizza Place | Bank | Deli / Bodega | Cosmetics Shop |
| Sunset Park_NYC | 3 | Salon / Barbershop | Pizza Place | Optical Shop | Mobile Phone Shop | Women's Store | Shoe Store | Department Store |
| Tompkinsville_NYC | 3 | Salon / Barbershop | Mexican Restaurant | Church | Pizza Place | Caribbean Restaurant | Grocery Store | Deli / Bodega |
| Unionport_NYC | 3 | Salon / Barbershop | Laundry Service | Deli / Bodega | Spanish Restaurant | Shoe Store | Other Nightlife | Church |
| University Heights_NYC | 3 | College Academic Building | Deli / Bodega | Salon / Barbershop | Bar | Supermarket | Discount Store | Pizza Place |
| Van Nest_NYC | 3 | Deli / Bodega | Nail Salon | Laundry Service | Salon / Barbershop | Pizza Place | Chinese Restaurant | Church |
| Wakefield_NYC | 3 | Salon / Barbershop | Laundry Service | Coworking Space | Food | Doctor's Office | Church | Gas Station |
| Weeksville_NYC | 3 | Automotive Shop | Caribbean Restaurant | Salon / Barbershop | Residential Building (Apartment / Condo) | Deli / Bodega | Chinese Restaurant | Other Great Outdoors |
| Whitestone_NYC | 3 | Deli / Bodega | Italian Restaurant | Gym | Salon / Barbershop | Other Great Outdoors | Playground | Bar |
| Williamsbridge_NYC | 3 | Church | Salon / Barbershop | Caribbean Restaurant | School | Nail Salon | Nightclub | Spa |
| Willowbrook_NYC | 3 | Synagogue | Deli / Bodega | Church | Laundry Service | Salon / Barbershop | Dance Studio | Chinese Restaurant |
| Wingate_NYC | 3 | Salon / Barbershop | School | Deli / Bodega | Caribbean Restaurant | Event Space | Food | Residential Building (Apartment / Condo) |
| Woodhaven_NYC | 3 | Deli / Bodega | Salon / Barbershop | Laundry Service | Miscellaneous Shop | Liquor Store | Doctor's Office | Chinese Restaurant |
| Woodlawn_NYC | 3 | Bar | Deli / Bodega | Salon / Barbershop | Pub | Church | Food & Drink Shop | Pizza Place |
| Woodside_NYC | 3 | Bar | Salon / Barbershop | Mexican Restaurant | Thai Restaurant | Platform | Deli / Bodega | Miscellaneous Shop |
| Bedford Park, Lawrence Manor East_Toronto | 3 | Salon / Barbershop | Italian Restaurant | Medical Center | Sushi Restaurant | Sandwich Place | Nail Salon | Hobby Shop |
| Caledonia-Fairbanks_Toronto | 3 | Salon / Barbershop | Bakery | Convenience Store | Church | Residential Building (Apartment / Condo) | Park | Laundry Service |
| Davisville_Toronto | 3 | Coffee Shop | Salon / Barbershop | Italian Restaurant | Flower Shop | Nail Salon | Café | Bookstore |
| Eringate, Bloordale Gardens, Old Burnhamthorpe, Markland Wood_Toronto | 3 | Salon / Barbershop | Park | Dentist's Office | Church | Doctor's Office | Bank | Electronics Store |
| Kensington Market, Chinatown, Grange Park_Toronto | 3 | Salon / Barbershop | Thrift / Vintage Store | Boutique | Vietnamese Restaurant | Art Gallery | Women's Store | Bar |
| South Steeles, Silverstone, Humbergate, Jamestown, Mount Olive, Beaumond Heights, Thistletown, Albion Gardens_Toronto | 3 | Salon / Barbershop | Movie Theater | Spiritual Center | Farm | Art Gallery | Bakery | Clothing Store |
| The Kingsway, Montgomery Road, Old Mill North_Toronto | 3 | Salon / Barbershop | Bank | Miscellaneous Shop | Doctor's Office | Spa | Nail Salon | Medical Center |
| Weston_Toronto | 3 | Pizza Place | Salon / Barbershop | Residential Building (Apartment / Condo) | Church | Park | Doctor's Office | Caribbean Restaurant |
c5 = nyc_tor_merged.loc[nyc_tor_merged['Cluster Labels'] == 4, :]
print(c5.shape)
c5
(178, 8)
| Cluster Labels | 1st Most Common Category | 2nd Most Common Category | 3rd Most Common Category | 4th Most Common Category | 5th Most Common Category | 6th Most Common Category | 7th Most Common Category | |
|---|---|---|---|---|---|---|---|---|
| Neighborhood | ||||||||
| Arden Heights_NYC | 4 | Professional & Other Places | Doctor's Office | Church | Dentist's Office | Bar | Gym | General Entertainment |
| Arlington_NYC | 4 | Church | Hardware Store | Salon / Barbershop | Professional & Other Places | Residential Building (Apartment / Condo) | Automotive Shop | American Restaurant |
| Arverne_NYC | 4 | Surf Spot | Bank | Housing Development | Playground | Sandwich Place | Deli / Bodega | Beach |
| Bay Terrace, Staten Island_NYC | 4 | Italian Restaurant | Dentist's Office | Housing Development | Gas Station | Dog Run | Donut Shop | Deli / Bodega |
| Baychester_NYC | 4 | Gas Station | Chinese Restaurant | Gym / Fitness Center | Residential Building (Apartment / Condo) | Fast Food Restaurant | Other Great Outdoors | Automotive Shop |
| Bayside_NYC | 4 | Greek Restaurant | Salon / Barbershop | Doctor's Office | Café | Pharmacy | Spa | Dentist's Office |
| Bayswater_NYC | 4 | Plane | Salon / Barbershop | Laundry Service | Gas Station | Church | Financial or Legal Service | Chinese Restaurant |
| Belle Harbor_NYC | 4 | Beach | Boutique | School | Doctor's Office | Salon / Barbershop | Spa | Garden |
| Bergen Beach_NYC | 4 | Doctor's Office | Playground | Salon / Barbershop | Dentist's Office | Event Space | Park | Dog Run |
| Borough Park_NYC | 4 | Synagogue | College Academic Building | Bank | Clothing Store | Jewelry Store | Smoothie Shop | Arts & Crafts Store |
| Breezy Point_NYC | 4 | Beach | Bar | Monument / Landmark | Trail | Other Great Outdoors | Surf Spot | Basketball Court |
| Brighton Beach_NYC | 4 | Salon / Barbershop | Mobile Phone Shop | Gourmet Shop | Restaurant | Pharmacy | Health & Beauty Service | Eastern European Restaurant |
| Broad Channel_NYC | 4 | Plane | Harbor / Marina | Park | Deli / Bodega | Church | Fast Food Restaurant | Bridge |
| Broadway Junction_NYC | 4 | High School | Metro Station | Automotive Shop | Deli / Bodega | Other Great Outdoors | Playground | Caribbean Restaurant |
| Brookville_NYC | 4 | Doctor's Office | Park | Deli / Bodega | Salon / Barbershop | Warehouse | Other Nightlife | Chinese Restaurant |
| Brownsville_NYC | 4 | Church | Deli / Bodega | Residential Building (Apartment / Condo) | School | Housing Development | Park | Pizza Place |
| Bushwick_NYC | 4 | Thrift / Vintage Store | Residential Building (Apartment / Condo) | Coffee Shop | Deli / Bodega | Bar | Taco Place | Radio Station |
| Butler Manor_NYC | 4 | Italian Restaurant | Beach | Baseball Field | Park | School | Doctor's Office | Burger Joint |
| Carroll Gardens_NYC | 4 | Residential Building (Apartment / Condo) | Deli / Bodega | Food Truck | School | Laundry Service | Convenience Store | Italian Restaurant |
| Castle Hill_NYC | 4 | Residential Building (Apartment / Condo) | School | Spanish Restaurant | Food | Emergency Room | Medical Center | Financial or Legal Service |
| Charleston_NYC | 4 | Doctor's Office | Salon / Barbershop | Miscellaneous Shop | Pizza Place | Emergency Room | Shoe Store | Department Store |
| Chelsea, Manhattan_NYC | 4 | High School | Deli / Bodega | Ice Cream Shop | Taxi | General Entertainment | Lounge | Food Truck |
| Chelsea, Staten Island_NYC | 4 | Salon / Barbershop | Automotive Shop | Ice Cream Shop | Gym | Park | Pizza Place | Church |
| Chinatown_NYC | 4 | Chinese Restaurant | Bakery | Bridge | Park | Asian Restaurant | Miscellaneous Shop | Spa |
| City Island_NYC | 4 | Harbor / Marina | Ice Cream Shop | Sporting Goods Shop | Playground | Residential Building (Apartment / Condo) | Pharmacy | Deli / Bodega |
| Civic Center_NYC | 4 | Government Building | Coworking Space | Doctor's Office | Food Truck | Lawyer | Residential Building (Apartment / Condo) | Gym |
| Clason Point_NYC | 4 | Park | Housing Development | Salon / Barbershop | Lounge | Event Space | Automotive Shop | Pool |
| Clifton_NYC | 4 | Gas Station | Hospital | Salon / Barbershop | Automotive Shop | Pizza Place | Hardware Store | Mexican Restaurant |
| Clinton_NYC | 4 | Theater | Restaurant | General Entertainment | Laundry Service | Concert Hall | Gym / Fitness Center | Parking |
| Co-op City_NYC | 4 | Residential Building (Apartment / Condo) | School | Church | Other Great Outdoors | Park | Laundry Service | Liquor Store |
| Coney Island_NYC | 4 | Residential Building (Apartment / Condo) | Housing Development | Deli / Bodega | Police Station | Park | Medical Center | Beach |
| Country Club_NYC | 4 | Deli / Bodega | Pizza Place | Coffee Shop | Nail Salon | Bar | Salon / Barbershop | Playground |
| Downtown_NYC | 4 | Shoe Store | Gym / Fitness Center | American Restaurant | Residential Building (Apartment / Condo) | Bar | Italian Restaurant | Burger Joint |
| Dumbo_NYC | 4 | Art Gallery | Tech Startup | Food Stand | Event Space | Food Truck | Salon / Barbershop | Bookstore |
| East Harlem_NYC | 4 | Residential Building (Apartment / Condo) | Pizza Place | Clothing Store | Church | Deli / Bodega | Lawyer | Bar |
| Edgemere_NYC | 4 | Medical Center | Dog Run | Residential Building (Apartment / Condo) | Beach | Pizza Place | Church | Metro Station |
| Fieldston_NYC | 4 | Synagogue | Residential Building (Apartment / Condo) | College Administrative Building | College Residence Hall | College Quad | College Academic Building | Historic Site |
| Financial District_NYC | 4 | Historic Site | Bar | Food Truck | Doctor's Office | Pet Service | Financial or Legal Service | Movie Theater |
| Flatiron_NYC | 4 | Tech Startup | Sporting Goods Shop | Clothing Store | Gym / Fitness Center | Women's Store | Boutique | Furniture / Home Store |
| Flushing_NYC | 4 | Bar | Karaoke Bar | Korean Restaurant | Chinese Restaurant | Hotel | Church | Residential Building (Apartment / Condo) |
| Fordham_NYC | 4 | Clothing Store | Deli / Bodega | Doctor's Office | Shoe Store | Nail Salon | Bank | Women's Store |
| Fox Hills_NYC | 4 | Residential Building (Apartment / Condo) | Professional & Other Places | Chinese Restaurant | Housing Development | Playground | School | Salon / Barbershop |
| Fulton Ferry_NYC | 4 | Food Truck | Pizza Place | American Restaurant | Park | Boat or Ferry | Beer Garden | Scenic Lookout |
| Gerritsen Beach_NYC | 4 | Gas Station | Bar | Housing Development | Professional & Other Places | Boat or Ferry | Ice Cream Shop | Bike Shop |
| Glen Oaks_NYC | 4 | Hospital | Playground | Bank | Laundry Service | Residential Building (Apartment / Condo) | Pizza Place | Salon / Barbershop |
| Gowanus_NYC | 4 | Art Gallery | Design Studio | Coworking Space | Metro Station | Factory | General Entertainment | Food Truck |
| Graniteville_NYC | 4 | Dentist's Office | Nail Salon | Doctor's Office | Taxi | Automotive Shop | Residential Building (Apartment / Condo) | Elementary School |
| Grant City_NYC | 4 | Doctor's Office | Asian Restaurant | Cosmetics Shop | Fast Food Restaurant | Pizza Place | Nail Salon | Police Station |
| Grasmere_NYC | 4 | Doctor's Office | Residential Building (Apartment / Condo) | Chinese Restaurant | Dentist's Office | Food | Bagel Shop | Church |
| Greenpoint_NYC | 4 | Deli / Bodega | Doctor's Office | Butcher | Residential Building (Apartment / Condo) | Coffee Shop | Dentist's Office | Gym / Fitness Center |
| Grymes Hill_NYC | 4 | Residential Building (Apartment / Condo) | Church | College Administrative Building | College & University | Salon / Barbershop | Dog Run | Daycare |
| Hammels_NYC | 4 | Beach | Residential Building (Apartment / Condo) | Church | Transportation Service | Automotive Shop | Bakery | Dog Run |
| Hillcrest_NYC | 4 | College Academic Building | General College & University | University | College Cafeteria | Medical Center | College Classroom | Salon / Barbershop |
| Howland Hook_NYC | 4 | Boat or Ferry | Food | Factory | Automotive Shop | Bar | Harbor / Marina | Government Building |
| Hudson Yards_NYC | 4 | Medical Center | Furniture / Home Store | Food Truck | Train Station | Bike Rental / Bike Share | General Travel | Donut Shop |
| Jamaica Estates_NYC | 4 | Church | School | Shipping Store | Playground | Beer Garden | High School | Speakeasy |
| Kensington_NYC | 4 | Grocery Store | Bank | Deli / Bodega | Doctor's Office | Mexican Restaurant | Food Truck | Liquor Store |
| Kew Gardens Hills_NYC | 4 | Doctor's Office | Dentist's Office | Bank | Convenience Store | School | Middle Eastern Restaurant | Playground |
| Lighthouse Hill_NYC | 4 | History Museum | Italian Restaurant | Church | Gas Station | Café | Bagel Shop | Salon / Barbershop |
| Lincoln Square_NYC | 4 | Theater | Performing Arts Venue | High School | Concert Hall | Residential Building (Apartment / Condo) | Plaza | Opera House |
| Malba_NYC | 4 | Park | Food Truck | Chinese Restaurant | Coworking Space | Nail Salon | Rock Club | Trade School |
| Manhattan Beach_NYC | 4 | Harbor / Marina | Boat or Ferry | Turkish Restaurant | Dessert Shop | Sandwich Place | Bagel Shop | Dog Run |
| Manor Heights_NYC | 4 | Laundry Service | Doctor's Office | Donut Shop | Liquor Store | Pharmacy | Salon / Barbershop | Burger Joint |
| Marine Park_NYC | 4 | Park | American Restaurant | Nail Salon | Doctor's Office | Laundry Service | Deli / Bodega | Coffee Shop |
| Midland Beach_NYC | 4 | Baseball Field | General Travel | Deli / Bodega | Non-Profit | Pet Store | Beach | Other Great Outdoors |
| Midtown_NYC | 4 | General College & University | Shoe Store | College Administrative Building | Tailor Shop | Design Studio | General Entertainment | Dance Studio |
| Midtown South_NYC | 4 | Taxi | American Restaurant | Food Stand | Spa | Event Space | Hotel | Jewelry Store |
| Mill Island_NYC | 4 | Pool | Harbor / Marina | Middle Eastern Restaurant | Salon / Barbershop | Other Great Outdoors | Moving Target | Convenience Store |
| Morningside Heights_NYC | 4 | Food Truck | College Residence Hall | College Academic Building | Student Center | Coffee Shop | College Classroom | College Quad |
| Morrisania_NYC | 4 | High School | Residential Building (Apartment / Condo) | Church | Chinese Restaurant | Deli / Bodega | Housing Development | Dentist's Office |
| Murray Hill, Queens_NYC | 4 | Korean Restaurant | Bakery | Doctor's Office | Laundry Service | Salon / Barbershop | Hardware Store | Gas Station |
| Neponsit_NYC | 4 | Beach | School | Park | Boutique | Deli / Bodega | Garden | Synagogue |
| New Dorp Beach_NYC | 4 | Salon / Barbershop | Italian Restaurant | Deli / Bodega | Scenic Lookout | General Entertainment | Sports Bar | Baseball Field |
| Noho_NYC | 4 | Bar | Residential Building (Apartment / Condo) | Salon / Barbershop | Deli / Bodega | Cocktail Bar | General Entertainment | Thai Restaurant |
| North Riverdale_NYC | 4 | Mobile Phone Shop | Salon / Barbershop | Pizza Place | Bank | Gym | Deli / Bodega | Spa |
| North Side_NYC | 4 | Residential Building (Apartment / Condo) | Bar | Wine Bar | Clothing Store | Event Space | Food Truck | Vegetarian / Vegan Restaurant |
| Oakland Gardens_NYC | 4 | Korean Restaurant | Chinese Restaurant | Dentist's Office | Laundry Service | Pharmacy | Sushi Restaurant | Daycare |
| Old Town_NYC | 4 | Medical Center | Bank | Cosmetics Shop | Bakery | Italian Restaurant | Auto Dealership | Pizza Place |
| Park Slope_NYC | 4 | Residential Building (Apartment / Condo) | Nail Salon | Laundry Service | Toy / Game Store | Deli / Bodega | Japanese Restaurant | Pizza Place |
| Port Ivory_NYC | 4 | Boat or Ferry | Automotive Shop | Park | Playground | Housing Development | Residential Building (Apartment / Condo) | Pier |
| Port Morris_NYC | 4 | Factory | Residential Building (Apartment / Condo) | Government Building | Plane | Latin American Restaurant | Distillery | Hardware Store |
| Queensboro Hill_NYC | 4 | Chinese Restaurant | Doctor's Office | Asian Restaurant | Hospital | Medical Center | Bank | Hospital Ward |
| Queensbridge_NYC | 4 | Hotel | Deli / Bodega | Miscellaneous Shop | Storage Facility | Playground | Gym / Fitness Center | Laundry Service |
| Red Hook_NYC | 4 | Art Gallery | Furniture / Home Store | Deli / Bodega | Wine Shop | Bike Shop | Bar | Coffee Shop |
| Richmond Town_NYC | 4 | Dentist's Office | Grocery Store | School | Laundry Service | Italian Restaurant | Miscellaneous Shop | Professional & Other Places |
| Rockaway Beach_NYC | 4 | Beach | Residential Building (Apartment / Condo) | Deli / Bodega | Pizza Place | Seafood Restaurant | Surf Spot | BBQ Joint |
| Rosebank_NYC | 4 | Pizza Place | General Entertainment | Ice Cream Shop | Nail Salon | Mexican Restaurant | Italian Restaurant | Chinese Restaurant |
| Rossville_NYC | 4 | General Entertainment | Pizza Place | Athletics & Sports | Automotive Shop | Medical Center | Bar | Other Great Outdoors |
| Roxbury_NYC | 4 | Beach | Bar | Theater | Fire Station | Seafood Restaurant | Baseball Field | Hardware Store |
| Sandy Ground_NYC | 4 | General Entertainment | Athletics & Sports | Other Great Outdoors | Elementary School | Other Nightlife | Bookstore | Doctor's Office |
| Sea Gate_NYC | 4 | Beach | Housing Development | Residential Building (Apartment / Condo) | Event Space | Chinese Restaurant | Dog Run | Deli / Bodega |
| Sheepshead Bay_NYC | 4 | Harbor / Marina | Residential Building (Apartment / Condo) | Boat or Ferry | Other Great Outdoors | Park | Playground | Fishing Spot |
| Soho_NYC | 4 | Boutique | Clothing Store | Jewelry Store | Women's Store | Event Space | Furniture / Home Store | Men's Store |
| Somerville_NYC | 4 | Automotive Shop | Sandwich Place | Harbor / Marina | Board Shop | Airport Gate | Plane | Pizza Place |
| South Ozone Park_NYC | 4 | Gas Station | Government Building | Deli / Bodega | Park | Taxi | Moving Target | Parking |
| Springfield Gardens_NYC | 4 | Church | Gas Station | Deli / Bodega | Chinese Restaurant | Automotive Shop | Fried Chicken Joint | High School |
| St. George_NYC | 4 | Deli / Bodega | Courthouse | Government Building | College Classroom | College Gym | Residential Building (Apartment / Condo) | Chinese Restaurant |
| Steinway_NYC | 4 | Automotive Shop | Pizza Place | Gym / Fitness Center | Deli / Bodega | Baseball Field | Rental Car Location | Salon / Barbershop |
| Throgs Neck_NYC | 4 | Other Great Outdoors | Chinese Restaurant | Italian Restaurant | Residential Building (Apartment / Condo) | Deli / Bodega | Pizza Place | Miscellaneous Shop |
| Tottenville_NYC | 4 | Italian Restaurant | School | Temple | Church | Beach | Dog Run | Salon / Barbershop |
| Travis_NYC | 4 | Automotive Shop | Park | Hotel | Bar | Pizza Place | Italian Restaurant | Bowling Alley |
| Tribeca_NYC | 4 | Residential Building (Apartment / Condo) | General Entertainment | Food Truck | American Restaurant | Café | Bar | Convenience Store |
| Utopia_NYC | 4 | Automotive Shop | Deli / Bodega | Playground | Laundry Service | Elementary School | Park | School |
| Vinegar Hill_NYC | 4 | Tech Startup | Art Gallery | Residential Building (Apartment / Condo) | General Entertainment | Event Space | Bike Rental / Bike Share | Massage Studio |
| West Brighton_NYC | 4 | Doctor's Office | Bank | Gift Shop | Pizza Place | Bagel Shop | Breakfast Spot | Salon / Barbershop |
| West Farms_NYC | 4 | Automotive Shop | School | Doctor's Office | Residential Building (Apartment / Condo) | Post Office | Deli / Bodega | Moving Target |
| Westchester Square_NYC | 4 | Salon / Barbershop | Convenience Store | Nightclub | Automotive Shop | Fast Food Restaurant | Nail Salon | Cosmetics Shop |
| Westerleigh_NYC | 4 | Doctor's Office | Salon / Barbershop | Dive Bar | Financial or Legal Service | Bank | Nail Salon | Sushi Restaurant |
| Williamsburg_NYC | 4 | Residential Building (Apartment / Condo) | Pizza Place | Salon / Barbershop | Gym | Park | Chinese Restaurant | Train |
| Windsor Terrace_NYC | 4 | Doctor's Office | Middle School | Bridge | Hardware Store | Deli / Bodega | School | Grocery Store |
| Woodrow_NYC | 4 | Pool | Grocery Store | School | Physical Therapist | Dentist's Office | Salon / Barbershop | Bar |
| Alderwood, Long Branch_Toronto | 4 | Convenience Store | Salon / Barbershop | Spa | Dentist's Office | Gas Station | Daycare | Bank |
| Bayview Village_Toronto | 4 | Salon / Barbershop | Doctor's Office | Church | Dog Run | Bank | Grocery Store | Japanese Restaurant |
| Berczy Park_Toronto | 4 | Residential Building (Apartment / Condo) | Parking | Laundry Service | Food Truck | Korean Restaurant | Tech Startup | General Entertainment |
| Birch Cliff, Cliffside West_Toronto | 4 | General Entertainment | Church | Indian Restaurant | Antique Shop | Pizza Place | Bar | Gym |
| Business reply mail Processing Centre, South Central Letter Processing Plant Toronto_Toronto | 4 | Light Rail Station | Fast Food Restaurant | Antique Shop | Government Building | Athletics & Sports | Theater | Medical Center |
| CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport_Toronto | 4 | Plane | Airport Gate | Airport Service | Moving Target | Airport Terminal | Coffee Shop | Airport Lounge |
| Canada Post Gateway Processing Centre_Toronto | 4 | Hotel | Convenience Store | Breakfast Spot | Chinese Restaurant | Conference Room | Intersection | Auto Dealership |
| Cedarbrae_Toronto | 4 | Bakery | Medical Center | Doctor's Office | Laundry Service | Automotive Shop | Caribbean Restaurant | Burger Joint |
| Central Bay Street_Toronto | 4 | Hospital | Hospital Ward | Medical Center | Coffee Shop | Pharmacy | Emergency Room | Food Court |
| Christie_Toronto | 4 | Café | Design Studio | Automotive Shop | Grocery Store | Furniture / Home Store | Laundry Service | Bakery |
| Clarks Corners, Tam O'Shanter, Sullivan_Toronto | 4 | Doctor's Office | Dentist's Office | Automotive Shop | Bank | Gas Station | Fast Food Restaurant | Pizza Place |
| Cliffside, Cliffcrest, Scarborough Village West_Toronto | 4 | Pizza Place | Salon / Barbershop | Laundry Service | Convenience Store | Church | Dentist's Office | Park |
| Commerce Court, Victoria Hotel_Toronto | 4 | Coffee Shop | Financial or Legal Service | Dentist's Office | Salon / Barbershop | Bank | Video Game Store | Deli / Bodega |
| Del Ray, Mount Dennis, Keelsdale and Silverthorn_Toronto | 4 | Convenience Store | Residential Building (Apartment / Condo) | Courthouse | Bank | Hospital | Skating Rink | Fast Food Restaurant |
| Don Mills_Toronto | 4 | Medical Center | Automotive Shop | Church | Coworking Space | General College & University | Doctor's Office | Tech Startup |
| Downsview_Toronto | 4 | Residential Building (Apartment / Condo) | Vietnamese Restaurant | Park | Bank | Coffee Shop | Salon / Barbershop | Pharmacy |
| Dufferin, Dovercourt Village_Toronto | 4 | Automotive Shop | Park | Church | Portuguese Restaurant | Furniture / Home Store | Jewelry Store | Dog Run |
| East Toronto, Broadview North (Old East York)_Toronto | 4 | Convenience Store | Park | Intersection | Church | Bookstore | Caribbean Restaurant | Middle Eastern Restaurant |
| Fairview, Henry Farm, Oriole_Toronto | 4 | Clothing Store | Shoe Store | Women's Store | Doctor's Office | Optical Shop | Cosmetics Shop | Jewelry Store |
| First Canadian Place, Underground city_Toronto | 4 | Coffee Shop | Bakery | Cosmetics Shop | Salon / Barbershop | Dentist's Office | Clothing Store | Health & Beauty Service |
| Forest Hill North & West, Forest Hill Road Park_Toronto | 4 | Dentist's Office | Gym / Fitness Center | Medical Center | Doctor's Office | Park | Jewelry Store | Tech Startup |
| Garden District, Ryerson_Toronto | 4 | College Lab | University | College Communications Building | General College & University | Parking | College Administrative Building | Student Center |
| Glencairn_Toronto | 4 | Convenience Store | Salon / Barbershop | Nail Salon | Grocery Store | Pizza Place | Café | Metro Station |
| Golden Mile, Clairlea, Oakridge_Toronto | 4 | Parking | Park | Residential Building (Apartment / Condo) | Doctor's Office | Diner | Automotive Shop | Gym |
| Guildwood, Morningside, West Hill_Toronto | 4 | Electronics Store | Residential Building (Apartment / Condo) | Restaurant | Church | Thrift / Vintage Store | Medical Center | Tech Startup |
| High Park, The Junction South_Toronto | 4 | Church | Government Building | Nightlife Spot | Gas Station | Historic Site | Library | Dog Run |
| Hillcrest Village_Toronto | 4 | School | Bank | Medical Center | Post Office | Miscellaneous Shop | Residential Building (Apartment / Condo) | Park |
| Humberlea, Emery_Toronto | 4 | Factory | Furniture / Home Store | Hardware Store | Residential Building (Apartment / Condo) | Church | Coffee Shop | Park |
| Humewood-Cedarvale_Toronto | 4 | School | Restaurant | Playground | Indian Restaurant | Synagogue | Salon / Barbershop | Dentist's Office |
| India Bazaar, The Beaches West_Toronto | 4 | Convenience Store | Salon / Barbershop | Park | Board Shop | Light Rail Station | Laundry Service | Pet Store |
| Islington Avenue, Humber Valley Village_Toronto | 4 | Residential Building (Apartment / Condo) | Pharmacy | Park | Factory | Bank | Cupcake Shop | Playground |
| Kennedy Park, Ionview, East Birchmount Park_Toronto | 4 | Pharmacy | Chinese Restaurant | Church | Coffee Shop | Parking | Dentist's Office | Salon / Barbershop |
| Kingsview Village, St. Phillips, Martin Grove Gardens, Richview Gardens_Toronto | 4 | Residential Building (Apartment / Condo) | Gym | Salon / Barbershop | Medical Center | Park | Elementary School | Financial or Legal Service |
| Lawrence Manor, Lawrence Heights_Toronto | 4 | Clothing Store | Furniture / Home Store | Design Studio | Accessories Store | Women's Store | Miscellaneous Shop | Cosmetics Shop |
| Lawrence Park_Toronto | 4 | College Classroom | College Auditorium | School | Fast Food Restaurant | Park | Gym / Fitness Center | High School |
| Leaside_Toronto | 4 | Bank | Sporting Goods Shop | Coffee Shop | Automotive Shop | Sandwich Place | Furniture / Home Store | Dentist's Office |
| Little Portugal, Trinity_Toronto | 4 | Art Gallery | Bar | Coffee Shop | Salon / Barbershop | Furniture / Home Store | Boutique | Bike Shop |
| Milliken, Agincourt North, Steeles East, L'Amoreaux East_Toronto | 4 | Chinese Restaurant | School | Medical Center | BBQ Joint | Doctor's Office | Church | Park |
| Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West_Toronto | 4 | Coworking Space | Automotive Shop | Gym / Fitness Center | Fast Food Restaurant | Miscellaneous Shop | Food & Drink Shop | Hardware Store |
| Moore Park, Summerhill East_Toronto | 4 | Taxi | Other Great Outdoors | Park | Government Building | Grocery Store | Bridge | Martial Arts School |
| New Toronto, Mimico South, Humber Bay Shores_Toronto | 4 | Pizza Place | Coworking Space | Medical Center | Athletics & Sports | Design Studio | Fast Food Restaurant | Miscellaneous Shop |
| North Toronto West, Lawrence Park_Toronto | 4 | Clothing Store | Cosmetics Shop | Shoe Store | Health & Beauty Service | Furniture / Home Store | Men's Store | Toy / Game Store |
| Northwood Park, York University_Toronto | 4 | Automotive Shop | Furniture / Home Store | Gas Station | Pharmacy | Doctor's Office | Medical Center | Bank |
| Parkdale, Roncesvalles_Toronto | 4 | Coffee Shop | Spa | Breakfast Spot | Music Venue | Clothing Store | Gift Shop | Art Gallery |
| Parkview Hill, Woodbine Gardens_Toronto | 4 | Convenience Store | Intersection | Bank | Café | Flower Shop | Pet Store | Fast Food Restaurant |
| Queen's Park, Ontario Provincial Government_Toronto | 4 | Government Building | Medical Center | Capitol Building | Restaurant | Doctor's Office | College Library | Medical Lab |
| Richmond, Adelaide, King_Toronto | 4 | Coffee Shop | Food Court | Café | Vegetarian / Vegan Restaurant | Ballroom | Indian Restaurant | Pool |
| Roselawn_Toronto | 4 | Dentist's Office | Playground | Gym | Medical Center | Doctor's Office | Italian Restaurant | Spa |
| Runnymede, Swansea_Toronto | 4 | Medical Center | Dentist's Office | Salon / Barbershop | Sushi Restaurant | Optical Shop | Massage Studio | Furniture / Home Store |
| St. James Town_Toronto | 4 | Residential Building (Apartment / Condo) | Event Space | Tech Startup | Laundry Service | Clothing Store | Japanese Restaurant | Design Studio |
| St. James Town, Cabbagetown_Toronto | 4 | Coffee Shop | Flower Shop | Street Art | Pharmacy | Restaurant | Pizza Place | Café |
| Steeles West, L'Amoreaux West_Toronto | 4 | Doctor's Office | Bank | Chinese Restaurant | Dentist's Office | Mobile Phone Shop | Clothing Store | Fast Food Restaurant |
| Stn A PO Boxes_Toronto | 4 | Residential Building (Apartment / Condo) | Tech Startup | Bar | Pub | Gym | Hotel | General Entertainment |
| Studio District_Toronto | 4 | Automotive Shop | Moving Target | Pharmacy | Coffee Shop | Nail Salon | Doctor's Office | Seafood Restaurant |
| The Beaches_Toronto | 4 | School | Jewelry Store | Doctor's Office | Playground | Laundry Service | Bakery | Miscellaneous Shop |
| The Danforth West, Riverdale_Toronto | 4 | Greek Restaurant | Salon / Barbershop | Spa | Miscellaneous Shop | Women's Store | Gym / Fitness Center | Health Food Store |
| Thorncliffe Park_Toronto | 4 | Church | Bank | Fast Food Restaurant | Residential Building (Apartment / Condo) | Indian Restaurant | Grocery Store | Gym / Fitness Center |
| Toronto Dominion Centre, Design Exchange_Toronto | 4 | Café | Restaurant | Coffee Shop | Park | Pharmacy | Italian Restaurant | Shoe Store |
| University of Toronto, Harbord_Toronto | 4 | College Residence Hall | Student Center | Food Truck | College Library | College Classroom | College Academic Building | College Lab |
| Upper Rouge_Toronto | 4 | Zoo Exhibit | Cosmetics Shop | Playground | Golf Course | Movie Theater | Bridge | Park |
| West Deane Park, Princess Gardens, Martin Grove, Islington, Cloverdale_Toronto | 4 | Residential Building (Apartment / Condo) | School | Park | Daycare | Church | Convenience Store | Clothing Store |
| Westmount_Toronto | 4 | Mobile Phone Shop | Park | Bank | Dentist's Office | Caribbean Restaurant | Gas Station | Auto Dealership |
| Wexford, Maryvale_Toronto | 4 | Middle Eastern Restaurant | Grocery Store | Intersection | Medical Center | Coffee Shop | Vietnamese Restaurant | Hookah Bar |
| Willowdale, Newtonbrook_Toronto | 4 | Church | Bank | Salon / Barbershop | Medical Center | Park | Nail Salon | Currency Exchange |
| Willowdale, Willowdale East_Toronto | 4 | Residential Building (Apartment / Condo) | Bank | Salon / Barbershop | Bubble Tea Shop | Restaurant | Coffee Shop | Park |
| Woburn_Toronto | 4 | Cosmetics Shop | Indian Restaurant | Pizza Place | Church | Salon / Barbershop | Pharmacy | Residential Building (Apartment / Condo) |
| Woodbine Heights_Toronto | 4 | Salon / Barbershop | Automotive Shop | Intersection | Park | Church | Pizza Place | Skate Park |
clust_cats = []
clusters = [c1, c2, c3, c4, c5]
for i, clus in enumerate(clusters):
clust_cats.append([])
for n in clus.index.values:
if n.endswith('NYC'):
nn = n[:-4]
clust_cats[i].extend(list(nyc_venues[nyc_venues['Neighborhood'] == nn]['Venue Category'].values))
else:
nn = n[:-8]
clust_cats[i].extend(list(tor_venues[tor_venues['Neighborhood'] == nn]['Venue Category'].values))
clust_cats[i] = pd.Series(clust_cats[i]).value_counts(normalize=True) * 100
# clust_cats[0]
tbl_bck = "#363636"
tbl_hdr_bck = "#363636"
tbl_txt = "#BBBBBB"
styles = [
dict(selector="td", props=[("border", "0px solid #333"), ("padding", "8px 20px 8px 20px"),
("background", tbl_bck), ("text-align", "left"),
("color", tbl_txt), ("font-size", "10pt")]),
dict(selector="th", props=[("border", "0px solid #333"), ("padding", "8px 20px 8px 20px"),
("background", tbl_bck), ("text-align", "left"),
("color", tbl_txt), ("font-size", "10pt")]),
dict(selector=".col0", props=[("border-left", "1px solid #bbbbbb")]),
dict(selector="th.blank:nth-child(2)", props=[("border-left", "1px solid #bbbbbb")]),
dict(selector="thead tr:nth-child(2) th", props=[("padding-top", "0"), ("padding-bottom", "8px")]),
dict(selector="th.col_heading", props=[("background", tbl_hdr_bck),
("color", "#FFCA91")]),
dict(selector="th.index_name", props=[("background", tbl_hdr_bck),
("color", "#8DCDFF")]),
dict(selector="th.blank", props=[("background", tbl_hdr_bck), ("padding", "0")]),
dict(selector="tr:nth-child(2n)", props=[("background", "white")]),
dict(selector="thead tr:nth-child(2) th", props=[("border-bottom", "1px solid {}".format(tbl_txt))]),
dict(selector="thead tr:nth-child(1) th", props=[("padding-top", "14px !important")]),
dict(selector="tbody tr:last-child td", props=[("padding-bottom", "20px")]),
dict(selector="tbody tr:last-child th", props=[("padding-bottom", "20px")]),
dict(selector="td:hover", props=[("font-weight", "bold"), ("background", "#002b36"), ("color", "#8DCDFF")]),
]
for i in range(kclusters):
c__ = clust_cats[i].to_frame("% of venues")
c__.index.names = ['Category']
html = (c__.head(7).style.set_table_styles(styles)
.set_table_attributes('style="border-collapse: collapse; border: 2px solid #BBBBBB"'))
display(HTML(disp_fmt.format("Cluster {}".format(i+1))))
display(html)
| % of venues | |
|---|---|
| Category | |
| Automotive Shop | 13.9286 |
| Church | 2.78571 |
| Gas Station | 2.5 |
| Salon / Barbershop | 2.21429 |
| Factory | 2 |
| Deli / Bodega | 1.92857 |
| Pizza Place | 1.85714 |
| % of venues | |
|---|---|
| Category | |
| Doctor's Office | 13.5384 |
| Residential Building (Apartment / Condo) | 5.23145 |
| Dentist's Office | 3.8364 |
| Medical Center | 2.88523 |
| Salon / Barbershop | 2.40964 |
| Deli / Bodega | 2.34623 |
| Laundry Service | 1.6487 |
| % of venues | |
|---|---|
| Category | |
| Residential Building (Apartment / Condo) | 14.2916 |
| Salon / Barbershop | 3.28209 |
| Deli / Bodega | 2.61737 |
| Laundry Service | 2.30577 |
| Doctor's Office | 2.285 |
| Church | 1.72414 |
| Park | 1.51641 |
| % of venues | |
|---|---|
| Category | |
| Salon / Barbershop | 7.343 |
| Deli / Bodega | 3.98551 |
| Pizza Place | 2.47585 |
| Church | 2.35507 |
| Laundry Service | 2.29469 |
| Chinese Restaurant | 2.18599 |
| Residential Building (Apartment / Condo) | 2.04106 |
| % of venues | |
|---|---|
| Category | |
| Residential Building (Apartment / Condo) | 2.3309 |
| Salon / Barbershop | 2.0878 |
| Church | 1.7446 |
| Doctor's Office | 1.7303 |
| Park | 1.6016 |
| Pizza Place | 1.5873 |
| Deli / Bodega | 1.4014 |
n_counts = []
for c in clusters:
nyc_c = 0
tor_c = 0
for n in c.index.values:
if n.endswith('NYC'):
nyc_c += 1
else:
tor_c += 1
n_counts.append((nyc_c, tor_c))
ind = ['cluster 1', 'cluster 2', 'cluster 3', 'cluster 4', 'cluster 5']
city_c_df = pd.DataFrame({
'NYC': [x[0] for x in n_counts],
'Toronto': [x[1] for x in n_counts]
}, index = ind)
fig, ax = plt.subplots(figsize=fig_size, facecolor=fig_fc)
city_c_df.plot(kind='bar', color=['#2d1e86', '#f6962b'], rot=0, ax=ax)
plot_conf(ax, xlbl='', ylbl='Number of neighborhoods', t='')
fig.savefig('city-count.png', dpi=300)
Our analysis shows that NYC and Toronto have the same Top 2 common venue categories: apartments and barbershops.
The Top 10 Common Venue Categories suggest what types of businesses are more likely to thrive.
The Rare Categories suggest what types of businesses are less desirable.
The neighborhoods of New York City and Toronto were clustered into multiple groups based on the categories of the venues in these neighborhoods. The results show that there are venue categories that are more common in some cluster than the others.